2017 Internships

– December 1, 2016Posted in: Career Tr@k, Feature, Job Tr@k, Statistical Opportunities

This has been updated as of April 17, 2017.

More than 30 companies are looking for interns for 2017. You’ll see from this list that there is something for everyone, from positions at pharmaceutical companies to a summer spent studying social issues that affect integrated human habitat, health, and well-being. If you are interested in improving your programming techniques, making connections, or honing your data analysis skills, apply for one of these opportunities.

If your organization would like to include an internship opportunity on our website, complete the form. Interested students will send a letter of inquiry and résumé directly to the contact and location you list.

AbbVie

Lake County, North Chicago, Illinois
Number of Positions: Multiple
Type of Student: Graduate/3rd or 4th year into PhD program
Deadline for Applying: January 31, 2017

AbbVie (NYSE:ABBV) is a global, research-based biopharmaceutical company formed in 2013 following separation from Abbott. AbbVie combines the focus and passion of a leading-edge biotech with the expertise and capabilities of a long-established pharmaceutical leader to develop and market advanced therapies and address some of the world’s most complex and serious diseases. In 2016, AbbVie will have employed approximately 28,000 people worldwide and marketed medicines in more than 170 countries via its 21 primary research and manufacturing facilities around the globe.

The Data and Statistical Sciences (DSS) organization in AbbVie R&D anticipates having internship positions available for the summer of 2017. Internships will begin in May/June and are typically 10–12 weeks in duration, with housing provided to eligible applicants.

During this time, interns will be provided with practical “hands-on” experience and given an opportunity to build their understanding of the pharmaceutical industry and AbbVie. The successful candidates will be assigned specific projects within the DSS organization and work under the guidance of a senior statistician to perform statistical analyses and/or conduct statistical research in areas of interest to the organization (e.g., genomics, adaptive/novel design strategies in drug development, clinical trial simulation, benefit-risk assessment, etc.). The successful candidates will have the opportunity to participate in statistical seminars and workshops. At the conclusion of the internship, interns are expected to give a presentation summarizing some aspect of their work while at AbbVie.

Basic Requirements

  • Be enrolled in a graduate-level curriculum leading to a PhD in statistics, biostatistics, bioinformatics, or highly related field
  • Have completed at least two full years of graduate study prior to the start of the internship
  • GPA: 3.5/4.0
  • Be in good academic standing within their graduate program and overall at their university
  • Track record of accomplishment
  • Authorized to work in the United States
  • Continue to be enrolled in graduate school for at least one semester following their internship

Preferred Requirements

  • Strong working knowledge of SAS and/or R
  • Excellent problem-solving skills
  • Exceptional interpersonal, communications, leadership, and project management skills
  • Proven track record of teamwork, adaptability, innovation, initiative, and integrity

Key AbbVie Competencies

  • Builds strong relationships with peers and cross functionally with partners outside of the team to enable higher performance
  • Learns quickly, grasps the “essence,” and can change course quickly where indicated
  • Raises the bar and is never satisfied with the status quo
  • Creates a learning environment, open to suggestions and experimentation for improvement
  • Embraces the ideas of others, nurtures innovation, and manages innovation to reality

Recruitment Process

We participate in several on-campus events (e.g., information sessions, career fairs, and interviewing while on campus). Interested candidates should check the career services schedules at their schools for the recruiting event schedule. AbbVie also posts our science intern positions on our career website.

 

Allergan Pharmaceuticals

Jersey City, New Jersey; Bridgewater, New Jersey; Irvine, California
Number of Positions: 4–6
Type of Student: PhD

The department of statistical sciences at Allergan has a few internship positions for full-time students who are pursuing an advanced degree (PhD) in statistical sciences, including statistics, biostatistics, mathematics, data science and analytics, or other closely related disciplines.

Our summer interns work for 10–12 weeks under the supervision of one or more mentors (experienced statistical scientists) on theoretical or applied issues with direct relevance to Allergan research and development in diverse therapeutic areas such as neuroscience, urology, internal medicine, women’s health, ophthalmology, dermatology, gastroenterology, and medical devices. Example research topics include modeling and simulation, statistical treatment of missing data, noninferiority trials, multiple comparisons, adaptive designs, meta-analysis, benefit-risk analysis, causal inference (propensity score), data mining, Bayesian statistics and decision theory, and reliability. At the end of the internship, each student is required to make a presentation on his/her research topic. The work can be reported as a technical report or potentially a peer-reviewed publication.

The internship positions will be located in our US R&D sites. No relocation or housing assistance will be provided.

Desired Skills and Experience

  • PhD candidate in statistical sciences or closely related discipline
  • Solid theoretical statistics background (e.g., having taken at least mathematical statistics courses at an advanced level and a graduate-level probability course)
  • Understanding of fundamental principles of probability, statistics, and computing
  • Familiar with software such as R, WinBugs, C/C++, Splus, or SAS
  • Effective oral and written communication skills in English
  • Enthusiasm for statistical sciences applied in a biopharmaceutical setting

Allergan plc (NYSE: AGN) is a bold, global pharmaceutical company and leader in a new industry model—growth pharma. Allergan is focused on developing, manufacturing, and commercializing branded pharmaceuticals and biologic products for patients around the world.

Allergan markets a portfolio of best-in-class products that provide novel treatments for the central nervous system, eye care, medical aesthetics and dermatology, gastroenterology, women’s health, urology, and anti-infective and cardiovascular therapeutic categories. With commercial operations in approximately 100 countries, Allergan is committed to working with physicians, health care providers, and patients to deliver innovative and meaningful treatments that help people around the world live longer, healthier lives.

Our success is powered by our world-class team’s commitment to being Bold for Life. Together, we build bridges, power ideas, act fast, and drive results for our customers and patients around the world by always doing what it is right.

Join one of the world’s fastest-growing pharmaceutical companies! At Allergan, you will have the opportunity to thrive in a fast-paced, strategic environment where bold, innovative thinking isn’t just welcomed, it’s encouraged. Across all functions, we relish the opportunity to help our people fulfill their potential. Our rapid growth strategy means plenty of opportunities to step into the spotlight.

Contact: Please visit Allergen’s site to submit your résumé.

 

AMGEN

Thousand Oaks, CA
Deadline for Applying: Amgen is no longer accepting applications.

Amgen’s 10 – 12 week internship program offers meaningful project experiences that impact patient’s lives. This internship provides the opportunity for executive and social networking events and to participate in community volunteer projects while providing a competitive compensation. Relocation in the form of a transportation allowance will be provided for eligible candidates.

This position will work closely with a senior-level statistician on topics related to the design and analysis of clinical trials and/or nonclinical research. Amgen research and development uses science and innovation to dramatically improve people’s lives in various therapeutic areas, including oncology, nephrology, bone metabolism, cardiovascular, and inflammation. At the conclusion of the internship, this position will give a presentation summarizing the work completed during the program.

Limited relocation housing and/or transportation allowance may be available for eligible candidates.

Basic Qualifications

Amgen requires that all individuals applying for a graduate internship or a co-op assignment at Amgen must meet the following criteria:

  • 18 years or older
  • Graduated with a Bachelor’s Degree from an accredited college or university with a 3.0 minimum GPA or equivalent
  • Completion as a first year graduate student before internship starts and currently enrolled in a MBA program for a MBA internship OR a Master’s program for a Masters internship OR a PharmD program for a PharmD internship OR PhD for a PhD internship from an accredited college or university
  • Enrolled in an accredited college or university following the potential internship or co-op assignment
  • Must not be employed at the time the internship starts

Preferred Qualifications

  • Pursuing a PhD in Biostatistics, Statistics, or Mathematics
  • In at least the third year of current program
  • Proficiency in SAS or R on either a UNIX or NT platform

Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

Only candidates who apply via career website will be considered. Please search the database by position title or requisition 29343.

Contact: Ali Hernandez, Amgen Inc., universityrelations@amgen.com

Phone: 805-447-1000 Fax: N/A Email: universityrelations@amgen.com

 

Astellas Pharma Inc.

Northbrook, Illinois
Number of Positions: 1–2
Type of Student: PhD candidate in statistics or related discipline
Deadline for Applying: January 31, 2017

Full-time internships are available in the summer for 10–12 weeks. Successful candidates will work closely with a senior-level statistician on topics related to the design and analysis of clinical trials and statistical research.

The project will be a hands-on learning experience involving both statistical and related data review and data analysis programming tasks. The programming tasks will involve use of SAS, R, and/or other statistical software on the UNIX platform.

To be considered, applicants must have completed at least two years of graduate-level course work and be working on a dissertation toward a PhD in statistics or biostatistics. The applicant must be legally authorized to work in the United States. In addition, applicants should have a good working knowledge of R, S-Plus, or SAS and good communication skills.

Contact: Send CV, personal statement of interest, and a letter of recommendation to Biostat.Intern@Astellas.com; (847) 205-5201; (847) 205-5916 (fax).

 

AT&T Labs – Big Data Research

Bedminster, New Jersey; New York, New York
Number of Positions: 2–5
Type of Student: Graduate, typically 2+ year PhD student
Deadline for Applying: March 1, 2017

Big Data Research invents new technologies and builds platforms that empower AT&T’s Big Data initiatives. Our expertise is in statistics and machine learning, data visualization, databases, and business intelligence. Within our organization, we have decades of experience managing and analyzing the industrial-scale massive data repositories generated by the AT&T network and our customers. On a given day, we are poring over billions of transactional, spatio-temporal, and unstructured data records. We have developed cutting-edge tools for streaming data management, analysis, and visualization of this data.

Our projects focus on delivering algorithms, tools, and insights that improve network performance, increase customer satisfaction, reduce costs, and contribute to best practices and the research community. As an intern, you and your mentor will be part of this inspiring work!

Our results contribute to the following research fields:

  • Statistics and Large-Scale Statistical Computing
  • Streaming Data Processing and Management
  • Differential Privacy and Data Anonymization
  • Machine Learning Methods
  • Data Visualization
  • Database Research

Qualifications

  • Currently pursuing a graduate degree (PhD preferred) in a data science field, including statistics, machine learning, computer science, operations research, computer engineering, and mathematics
  • Accomplished R programmer and experience coding with languages such as C/C++, Python, and Java
  • Familiarity with modern data management systems like Hadoop, NoSQL, and Spark
  • Experience summarizing and communicating research results
  • Have completed at least two years of graduate study and demonstrated the ability to successfully tackle challenging analytical problems

Our summer internship program runs for 10 weeks (flexible start date), pairing interns with 1–2 mentors at either our Bedminster, New Jersey, corporate campus or our satellite office in Tribeca (Manhattan), New York. For more information, please go to AT&T Labs – Big Data Research.

Contact: Amy Messina, AT&T Human Resources, (484) 636-5821.

Battelle

Columbus, Ohio
Number of Positions: 1–2
Type of Student: Master’s and PhD
Deadline closed January 4, 2017

Battelle is guided by a founding mission. We invest our knowledge, talents, and resources, helping our customers achieve their most important goals. We apply scientific rigor and creativity, succeeding where others may fail, and we invest in our communities, making the world better for generations to come. All of us share a common purpose: to solve the greatest challenges of today and tomorrow.

We are currently seeking a statistics intern to work with our health and analytics group. For more than 35 years, our data analytics organization has specialized in providing statistical analysis and informatics solutions in health, defense, environment, toxicological studies, and other research areas. The primary job responsibilities for the selected candidate will include the following:

  • Organizing and maintaining large data sets and data libraries in a variety of formats for use in statistical analysis
  • Processing and combining data sets for analysis from spreadsheets, network databases, or electronic data capture systems
  • Summarizing data for internal and external reports by analyzing the distribution of the data and presenting appropriate descriptive statistics
  • Critically evaluating data for quality measures such as completeness, accuracy, and applicability, applying understanding of relevant research area nomenclature
  • Recommending and implementing statistically sound analyses on diverse data sources under supervision of more experienced statisticians
  • Performing simulation studies and interpreting results
  • Producing clear, concise, and effective presentation charts, graphs, and tables from statistical analyses and simulation studies to team members
  • Proactively managing expectations and meeting deadlines in a fast-moving, agile environment
  • Conducting and participating in assigned projects under general supervision and within time and budget constraints
  • Maintaining excellent communication with team members

Requirements

  • Pursuing a master’s or PhD in statistics, biostatistics, applied mathematics, or related field
  • 3.0 minimum GPA and at least two years of college coursework completed
  • Strong course work in statistical theory
  • Course work or experience demonstrating statistical programming and data visualization skills in SAS or R
  • Demonstrated competency in multiple statistical techniques (e.g., time series analysis, generalized linear models, Bayesian methods, spatial statistics, survey statistics)
  • Strong aptitude in science and firm understanding of the scientific method to facilitate collaboration with scientists and engineers
  • Excellent written and oral communication skills

Desired Skills and Experience

  • Strong desire to work in a multidisciplinary environment solving problems in a variety of application areas
  • Programming experience in Java, C/C++, Python, MatLab, or Stata
  • Experience interacting with data stored in relational databases such as MS Access and SQL Server
  • Experience with Hadoop, MongoDB, or other Big Data technologies
  • Experience working effectively both individually and as a member of multifunctional, multidisciplinary teams

Contact: No longer accepting phone calls or emails

 

Bayer Pharmaceuticals

Whippany, New Jersey
Number of Positions: 3
Type of Student: PhD candidates in (bio)statistics or related field
Deadline was January 1, 2017

As an intern within the pharmaceuticals statistics US department, the incumbent will gain a direct view into research and development at Bayer and witness how clinical trials influence the decisions made during the drug development process.

The selected individual will have the opportunity to work on a research project with senior biostatisticians in a fast-paced environment. They may become involved in the analyses of clinical trial data, programming, and providing support to highly knowledgeable trial statisticians and project statisticians.

At the end of the internship, the intern will present their research project to the statistics department and a nonstatistical audience.

Required Skills

The successful candidate must be a high performer interested in the interactions between science and policy, wanting to work with dynamic people and contribute to a changing environment.

Good oral and written communication skills. Good working knowledge of SAS and/or R.

Candidates must be available for a three-month assignment at Bayer’s Whippany, New Jersey, site from June 2017 until the end of August 2017.

As required by current immigration law, it is the student’s responsibility to provide the appropriate documentation showing proof of eligibility to work and earn money in the United States. Housing stipends are available.

To apply, visit Bayer’s career site and search for clinical statistics intern.

Contact: Daniel Haverstock, Global Clinical Statistics Group Leader, 100 Bayer Boulevard, P.O. Box 915, Whippany, NJ 07981-0915; (862) 404-3283

 

Boehringer Ingelheim

Ridgefield, Connecticut
Number of Positions: Up to 5
Type of Student: MS or PhD in biostatistics, statistics, or a related degree program
Deadline for Applying: January 30, 2017

Boehringer Ingelheim will have multiple full-time summer biostatistics internship openings for approximately 12 weeks (May/June to August; dates flexible). As a biostatistics intern, you will work with a senior-level statistician on a statistical research project related to the pharmaceutical industry and clinical trials. Potential topics may include survival analysis, Bayesian methods, or dose-finding with applications to oncology, immunology, cardiology, respiratory, or central nervous system disorders. Interns are expected to present the results of their research at the end of the program and may have the opportunity to summarize their work in a peer-reviewed publication.

Required

  • Must be a graduate student in fields related to statistics, biostatistics, or mathematics with good academic standing (cumulative GPA must be at least 3.0)
  • Must have completed 12 credit hours within a related major and/or other related course work
  • Must be an MS or PhD candidate with at least two years of study
  • Good written and oral communications skills
  • Demonstrated proficiency in conducting statistical analyses using SAS or R

Interested applicants may visit Boehringer Ingelheim, click “careers,” and search for job number 1611229 to apply.

The Boehringer Ingelheim group is one of the world’s 20 leading pharmaceutical companies. Headquartered in Ingelheim, Germany, it operates globally with 142 affiliates and more than 47,400 employees. Since it was founded in 1885, the family-owned company has been committed to researching, developing, manufacturing, and marketing novel medications of high therapeutic value for human and veterinary medicine. Social responsibility is a central element of Boehringer Ingelheim’s culture. Involvement in social projects, caring for employees and their families, and providing equal opportunities for all employees form the foundation of the global operations. Mutual cooperation and respect, as well as environmental protection and sustainability, are intrinsic factors in all of Boehringer Ingelheim’s endeavors.

Contact: Jennifer McGinniss, Boehringer Ingelheim Pharmaceuticals, Inc., 900 Ridgebury Road, Ridgefield, CT 06877; (203) 791 -6476

Bristol-Myers Squibb

Princeton, New Jersey; Hopewell, New Jersey; Wallingford, Connecticut
Number of Positions: Multiple
Type of Student: PhD candidates in statistics or biostatistics
Deadline for Applying: May 2016

Full-time internships are available in the summer and last 10–12 weeks. Part-time internships are available during the school year and may continue for longer periods.

Successful candidates will work closely with a senior-level statistician on topics related to the design and analysis of clinical trials and/or nonclinical research.

To be considered, you must have completed at least two years of course work and be working on your dissertation toward a PhD in statistics or biostatistics. Successful candidates must have effective oral and written communication skills and good working knowledge of SAS and/or R.

To apply, send unofficial graduate transcripts, a résumé, and a cover letter to the contact below.

Contact: Rose Elcsics, Bristol-Myers Squibb, P.O. Box 5100, Wallingford, CT 06492-7660

 

Bureau of Labor Statistics

Washington, DC
Number of Positions: TBD
Type of Student: PhD
Deadline for Applying: January 2, 2017

Graduate student research assistantship funding may be available through the 2017 ASA/NSF/BLS Fellowship Program. If you are a graduate student who is working closely with a professor on a research topic of interest to the BLS in the fields of statistics, mathematics, economics, survey methodology, behavioral science, etc., then the professor can submit a research proposal to the ASA/NSF/BLS Fellowship Program, including a budget item for student support. This will provide a unique opportunity for conducting research at the BLS headquarters in Washington, DC, accessing BLS data and facilities, and working closely with BLS staff. More information about the fellowship program, eligibility criteria, and application requirements are available at the bureau’s website or in our brochure. Final decisions are anticipated around April 15, 2017.

Contact: Jeffrey M. Gonzalez, Office of Survey Methods Research, Bureau of Labor Statistics, 2 Massachusetts Ave. NE, Suite 5930, Washington, DC 20212; (202) 691-7517; (202) 691-7426 (fax)

 

Center for Drug Evaluation and Research, Office of Biostatistics, Food and Drug Administration

Silver Spring, Maryland
Number of Positions: Multiple
Type of Student: Graduate students in statistics or biostatistics. Completion of doctoral prequalifying exams is preferred.
Deadline for Applying: March 31, 2017, with rolling offers

The Office of Biostatistics (OB) in the Center for Drug Evaluation and Research at the U.S. Food and Drug Administration is recognized for excellence in the application and communication of statistical science in drug regulation and development. We play a central role in promoting innovative, science-based quantitative decision making throughout the drug development life cycle. We provide statistical leadership, expertise, and advice to foster the expeditious development of safe and effective drugs and therapeutic biologics for the American people.

We anticipate having multiple internship positions available for advanced PhD graduate students in statistics or biostatistics from May 31 through September 1, 2017, to engage in research projects on topics relevant to OB scientific needs.

Interns will gain hands-on experience with regulatory research projects under the guidance of an expert OB mentor, using actual data to address real problems in a stimulating, collaborative, and supportive environment. Past research project areas have included modeling and simulation, missing data, noninferiority trials, multiple endpoints, adaptive designs, Bayesian design and analysis methods, meta-analyses, benefit-risk analyses, subgroup analyses, biosimilars, and data mining. Interns have been involved in the development of statistical methods, software tools, and new drug application databases for the analyses of pre-clinical and pre- and post-market clinical data.

You will be expected to participate in the internship 40 hours per week at our headquarters in Silver Spring, Maryland, with your mentor and cohort. You are expected to have excellent oral and written communication skills, interpersonal and teamwork skills, strong problem-solving skills, strong computational skills, creativity and innovation, and self-management skills. Candidates should have proficiency with MS Office and programming experience with SAS and/or R. As part of the internship program, the intern will prepare a written report and give a 30-minute presentation summarizing the work.

Successful candidates must be legally eligible to be employed in the United States. It is the student’s responsibility to obtain the appropriate work authorization, if applicable. As required by current immigration law, an internship offer is contingent upon the student’s ability to provide the appropriate documentation to prove work eligibility prior to the start of the internship. U.S. citizenship is not required for participation in the ORISE Research Participation Programs at FDA. F-1 individuals with curricular or optional practical training authorization are eligible, as are J-1 students with academic training authorization or J-1 exchange visitors.

Our program is administered by and paid through the Oak Ridge Institute for Science and Education (ORISE) through its contract to operate with the U.S. Department of Energy.

This paid internship may also include a transportation allowance for eligible candidates.

Contact: Send CV and cover letter to the Office of Biostatistics, Center for Drug Evaluation and Research, U.S. Food and Drug Administration with APPLICATION ORISE 2017 in the subject line by March 31, 2017. If you have a question, use QUESTION ORISE 2017 as the subject.

 

Chevron Oronite Company, LLC

Richmond, California
Number of Positions: 1
Type of Student: Pursuing a master’s or PhD degree in statistics or a closely related field
Deadline for Applying: January 31, 2017

The successful candidate will spend 10–12 weeks of the summer working with a small team of highly experienced and skilled statistical consultants to support Chevron Oronite Products and Technology (P&T) and a variety of other Chevron clients. The team supports many function areas, including business management, product management, chemical research, product development, sales, and manufacturing. In addition to support in the United States., the position provides statistical support globally.

Key Job Responsibilities

  • Assists deployment of effective statistical analyses, statistical problem solving, and optimization techniques (e.g., experimental designs, predictive modeling, multivariate methods, hypothesis testing, sample size estimation) to improve decision making, support exploratory chemistry, support marketing claims, improve process capability, and support strategic positions
  • May develop series of individual data-based models for our modeling platform for performance prediction, analyze data from industry research projects on vehicle emissions and fuel economy, or research appropriate search and optimization techniques for a modeling tool
  • Exhibit all Chevron values/behaviors, including integrity, trust, diversity, ingenuity, partnership, protecting people and the environment, and high performance

Required Qualifications

  • Pursuing a master’s or PhD degree in statistics or a closely related field.
  • Experience using statistical software (SAS, JMP, and/or R) and business communication software (i.e., Microsoft Office)
  • Good writing skills and willingness to give verbal presentations

Preferred Qualifications

  • Familiarity with the physical sciences

Chevron is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

Chevron regrets that it is unable to sponsor employment visas or consider individuals on time-limited visa status for this position.

Chevron participates in E-Verify in certain locations as required by law.

To be considered for this position at Chevron, you must complete a profile and application at the Chevron site. Upload your transcript under the “Additional Documents” field in the profile. To verify your application has been submitted, click on the Job Management tab.

Contact: Tarin Payne, 6001 Bollinger Canyon Road, T-1208, San Ramon, CA 94583; (925) 842-5478.

 

Eli Lilly and Company

Indianapolis, Indiana
Number of Positions: Multiple
Type of Student: Master’s or PhD students enrolled in a statistics or biostatistics program. PhD students are required to have completed at least three years of graduate work by May 2017. Master’s students must be U.S authorized workers who have completed at least one year of graduate work by May 2017.
Deadline: January 31, 2017

The Global Statistical Sciences Division of Eli Lilly and Company anticipates having several internship positions available for the summer of 2017. The internships start in either May or June and last 12 weeks.

We will provide you with practical experience and give you the opportunity to build your understanding of the pharmaceutical industry and Eli Lilly and Company. Successful candidates will be assigned specific projects to work on under the guidance of a Lilly statistician or statistical analyst (mentor).

Preferred skills for candidates include demonstrated leadership and ability to influence; excellent communication, teamwork, and interpersonal skills; strong problem solving skills; strong computational skills; creativity and innovation; and self-management skills.

Please apply at Eli Lilly and Company website for PhD students or for Master’s students.

Contact: Sheri Shaw, Global Recruiting and Staffing.

 

The Emmes Corporation

Rockville, Maryland
Number of Positions: 3–5
Type of Student: MS or PhD in biostatistics
Deadline for Applying: May 1, 2017

The EMMES Corporation, organized in 1977, is a privately owned contract research organization (CRO) in Rockville, Maryland. EMMES is dedicated to providing statistical and epidemiological expertise, computer systems development, data management, study monitoring, regulatory guidance, and overall operational support to clients engaged in clinical and biomedical research.

A biostatistics intern will work closely with biostatisticians on biomedical research projects across a variety of disease areas. Interns meet with epidemiologists, project coordinators, and biomedical investigators and will contribute to the design and analysis of clinical research projects.

Primary Responsibilities

  • Perform descriptive and inferential statistical analysis
  • Summarize results using tables and graphs for presentation to biomedical investigators or for manuscript preparation
  • Edit and finalize research databases for statistical analysis

Experience, Competencies, and Education

  • Currently enrolled master’s/PhD student in statistics or biostatistics
  • Excellent analytical/problem-solving skills
  • Attention to detail
  • Ability to manage priorities effectively
  • Familiarity with SAS or R

For immediate consideration, submit your résumé and apply directly through the company website.

Contact: Charlotte Camacho, (301) 251-1161; (301) 576-7114 (fax); (email only or directly through our company website to the Biostat Intern Opening)

 

Division of Biostatistics, OSB, CDRH, FDA

Silver Spring, Maryland
Number of Positions: 3–5
Type of Student: Advanced PhD students
Deadline for Applying: April 30, 2017

The Division of Biostatistics (DBS), Office of Surveillance and Biometrics (OSB), CDRH, FDA plans to hire 3–5 advanced PhD graduate students in biostatistics/statistics as interns from June through August 2017 to work on research projects that align with the CDRH strategic priorities (e.g., real-world evidence, patient engagement, personalized medicine, developing and validating classifiers, modeling and simulation, adaptive designs, quantitative benefit-risk analysis, post-market surveillance) involving the development of statistical methods and software tools. Interns will gain hands-on experience on regulatory research projects under expert DBS mentors. Preference will be given to senior doctoral candidates with a strong background in statistical methods and good computational and programing skills.

Contact: Send CV and cover letter to Ram Tiwari; (301) 796-4084

 

Fred Hutchinson Cancer Research Center

Seattle, Washington
Number of Positions: ~30
Type of Student: Undergraduate—entering summer before final semester/quarter of undergraduate studies
Deadline for Applying: January 13, 2017

The Fred Hutch Summer Undergraduate Research Program (SURP) is an intensive nine-week internship designed to provide research experience and mentorship for undergraduate students interested in biomedical research. Under the guidance of a faculty mentor, interns will complete an independent research project and present their findings at a competitive poster session. Interns will be paired with a faculty mentor after selecting one of the following areas of interest: basic science; human biology; public health; clinical research; and vaccine and infectious disease.

In addition to completing a mentored research project, interns will participate in professional development workshops designed to facilitate the preparation of competitive applications for graduate/medical school. Workshops include preparing a personal statement, résumé, and abstract; how to successfully apply to graduate or medical school; and preparing and presenting a scientific poster.

Interns will also attend weekly research seminars regarding a broad array of scientific topics. The program culminates with a competitive poster session.

Eligibility Requirements

  • U.S. citizen or permanent resident
  • Entering the summer before the final year (or semester or quarter) of undergraduate studies
  • Strong background in the sciences or related area of interest

Contact: Jennifer Anderson, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave. North, M3-B232, Seattle, WA 98109.

 

Genentech

South San Francisco, California
Number of Positions: 4–6
Type of Student: PhD in statistics, biostatistics, or related field
Deadline for Applying: January 29, 2017, but offers may be made earlier

Our biostatistics summer interns work for 10–12 weeks under the supervision of experienced biostatisticians on theoretical or applied problems with direct relevance to ongoing clinical or nonclinical drug development research in areas such as oncology, immunology, infectious disease, ophthalmology, and neuroscience. Specific topics include problems in genomics and, more generally, translational research to late-stage clinical trials and post-marketing evaluations. At the end of the internship, students give a department-wide presentation on their research topic. It is not uncommon for an intern to summarize their work in a peer-reviewed publication.

Applicants must be at least 18 and pursuing a PhD in statistics or biostatistics. They must have at least one year of graduate work by May 2016 and be returning to school in the fall of 2016. The applicant must be legally authorized to work in the United States. In addition, applicants should have a good working knowledge of R, S-Plus, or SAS and good communication skills.

Contact: Please send CV, personal statement of interest, and a letter of recommendation to gnebiostatsummerintern@gene.com.

 

GlaxoSmithKline

Collegeville, Pennsylvania
Number of Positions: 2
Type of Student: MS or PhD student
Deadline for Applying: November 30 for January hiring, May 31 for June hiring

Statistical sciences within the Quantitative Sciences Division of GSK is an internal consulting group that provides statistical consulting support to nonclinical research and development.

The co-op student will work under the supervision of the statisticians in statistical sciences and have the opportunity to do the following:

  • Advise on design, sample size, and other aspects of statistical relevance in the planning of studies
  • Provide statistical analysis, reporting, and interpretation of results of studies
  • Provide statistical computing programs for use either within statistical sciences or by other R&D staff

This position is full time for five to six months. It will be posted online and managed by third party Atrium. There are two hiring windows every year. The position from January–June is posted in early October and the position from June–December is posted in late March.

To apply, visit the GSK website for position ID 201079.

 

GlaxoSmithKline—Pre-Clinical Statistics for Drug Discovery

Collegeville, Pennsylvania
Number of Positions: Multiple
Type of Student: PhD student
Deadline for Applying: May 31, 2017, for position starting in June/July 2017

GSK is a science-led global health care company with a mission to help people do more, feel better, and live longer. Our success depends on our ability to research and develop innovative health care products and make them accessible to as many people as possible. We have more than 13,000 people working on the research and development of prescription medicines, consumer health care products, and vaccines.

Within this research environment, our statistics team provides expert statistical consulting to GSK scientists in pre-clinical drug discovery. We work closely with biologists and chemists to design and analyze nonclinical experiments to identify the biochemical targets by which diseases may be attacked and to select compounds that can modulate these targets.

We are seeking a co-op student to work full-time for 5–6 months at one of our sites near Philadelphia. The student will work with a senior statistician to provide hands-on consulting support—including experimental design, data analysis, and data visualization—for specific drug discovery projects. The work will include identifying existing statistical methods or developing new ones and applying them to nonclinical studies in GSK’s laboratories. The student will have the opportunity to learn about the pharmaceutical industry and work with scientists with varied backgrounds in biology and chemistry. If further work is needed at the end of the assignment, there is the possibility of extending the project. Please discuss this opportunity with your adviser and obtain his/her consent prior to applying.

Basic Qualifications

  • Currently enrolled in a graduate program leading to a PhD in statistics, biostatistics, or a related field
  • Eligible to work in the United States at the time of, and for the duration of, employment (must furnish evidence of U.S. work authorization)
  • Eligible to work on a full-time basis during the internship duration (35–40 hours/week)
  • Completion of two years of graduate study (i.e., coursework equivalent to an MA/MS in statistics with a 3.0 or greater cumulative GPA)

Preferred Qualifications

  • Good oral and written communication skills
  • Strong working knowledge of SAS or R
  • Previous experience applying statistics to applied problems
  • Knowledge of one or more of the following statistics topics: experimental design; mixed models; Bayesian methods; linear and nonlinear regression; repeated measures; high-dimensional data analysis as found in ‘omics analyses

There are two hiring windows every year: spring and fall. Applications will be evaluated on a rolling basis until positions are filled. To apply, please submit a résumé, a transcript, the email addresses of two references, and a cover letter explaining your interest in the position to the GSK contact below. Students should also direct questions to the GSK person below.

If you see other ads for GlaxoSmithKline on the ASA internship website, they are for different departments with completely separate application processes. In particular, there is another nonclinical department at GSK that supports nonclinical research for developing drug manufacturing processes.

Contact: Shu Zhang, Target Sciences Statistics, GSK, 1250 S. Collegeville Road, Collegeville, PA 19426.

 

Google

Several locations in North America
Number of Positions: Multiple
Type of Student: MS or PhD enrolled in a full-time degree program with plans to return to the program after the end of the internship
Deadline for Applying: We will begin accepting applications on January 6, 2017. Applications are due by Monday, January 23, 2017, at 11:59 p.m. PST. Our team will review applications on a rolling basis so it’s in the candidate’s best interest to apply early. All hiring will be completed by April 2017.

At Google, statisticians/quantitative analysts/data scientists evaluate and improve Google’s products. We collaborate with multidisciplinary teams of engineers and analysts on a wide range of problems. Data drives our decision making. We work across the organization to help shape Google’s business and technical strategies by processing, analyzing, and interpreting huge data sets. Using analytical rigor and statistical methods, we mine data to identify opportunities for Google and our clients to operate more efficiently, from improving search and advertising to network infrastructure optimization to studying user behavior. We do more than just crunch the numbers—we work with engineers, product managers, sales associates, and marketing teams to adjust Google’s practices according to your findings. Identifying the problem is only half the job; we also figure out solutions. Every day, we ask the hardest questions we can and try to create, craft, and code the best answers possible.

Responsibilities

  • Provide research on topics including Google’s business model and novel search techniques
  • Produce quantitative and qualitative modeling of business dynamics, user behavior, etc.
  • Identify areas for further investigation and create innovative methods of analysis

Minimum Qualifications

  • Currently pursuing an MS or PhD in statistics, biostatistics, computer science, mathematics, economics, psychology, sociology, physics, operations research, electrical engineering, or another discipline involving experimental design and quantitative analysis of experimental data
  • Enrolled in a full-time degree program and returning to the program after the end of the internship
  • Experience using tools such as scripting, R, Python, or SQL to work with data

Preferred Qualifications

  • Experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, and sampling methods
  • Experience with Unix/Linux
  • Strong track record of developing intellectual capital such as published works

Contact: google.com/students

 

Institute for Defense Analyses

Alexandria, Virginia (Washington, DC, Metro Area)
Number of Positions: 5
Type of Student: Graduate and PhD
Deadline for Applying: Saturday, January 7, 2017

The Institute for Defense Analyses is seeking applicants with statistical expertise for summer associate positions. The IDA Summer Associate Program provides statisticians with a unique opportunity to use their quantitative and analytic skills to work on challenging real-world national security issues. Positions are available with a variety of foci. Projects from past years have included functional data analysis, Bayesian approaches to reliability estimation, and statistics in science policy. U.S. citizenship is required; applicants selected will be subject to a security investigation and must meet the eligibility requirements to work in a classified facility.

Visit the website for more information. To apply, go to this site.

Contact: Lamarr Colvin, 4850 Mark Center Drive, Alexandria, VA 22311; (703) 845-2091.

 

Institute for Defense Analyses

Washington, DC
Type of Student: Bachelor’s and Master’s
Deadline for Applying: January 27, 2017

The Science and Technology Policy Institute (STPI) is a congressionally chartered, federally funded research and development center operated by the Institute for Defense Analyses (IDA).

STPI provides analytical support to the White House Office of Science and Technology Policy, the National Science Foundation, the National Institutes of Health, and other federal departments and agencies on science, technology, and innovation policy issues.

The STPI Science Policy Fellowship Program provides recent bachelor’s or master’s degree recipients a unique opportunity to use their critical thinking and analytical skills to work on a diverse set of challenges in science and technology (S&T) policy areas, including energy and the environment, space sciences innovation and competitiveness, evaluation, life sciences, information technologies, national security, and STEM education.

Fellows will work with a team of researchers to support a variety of S&T policy-related tasks. Duties may include conducting survey-based and interview-based research, database development, use of data visualization tools, use of statistical techniques, and other qualitative and quantitative methods to perform project-driven policy analysis. Fellows will have an opportunity to work on one independent research project that will contribute to the scientific, technical, or policy literature. Over the course of the two-year program, experiences will include the following:

  • Training on specific analytical methods and tools
  • Mentorship from senior staff with extensive policy-related experience
  • Ongoing colloquia series on topics related to S&T policy
  • Attending and presenting at select professional society meetings

Qualifications

  • Bachelor’s or master’s degree (candidates with degrees higher than a master’s degree will not be considered)
  • At least a bachelor’s degree conferred between May 2015 and July 2017
  • A degree in engineering, life sciences, physical sciences, social and behavioral sciences, computer science, mathematical sciences or statistics, and learning sciences
  • A strong interest in science and technology policy, although previous policy experience is not required
  • Strong written and oral communication skills (candidates will be asked to give a 30-minute presentation on a topic to be assigned during a group interview)
  • Innovative, analytical, self-starting, and able to contribute to and support team efforts
  • Candidates must complete a security investigation and meet eligibility requirements for access to classified information
  • U.S. citizenship

Application Materials

To be considered for this opportunity, interested candidates must follow a two-step process:

1. Apply
2. Submit via email to STPI-Fellow@ida.org the following documents:

  • Statement of purpose—explain in 1,000 or fewer words why you want to work in science and technology policy and how your background/experience makes you a good candidate
  • Writing sample—5,000-word maximum
  • Transcripts—unofficial transcript is acceptable for consideration, but an official transcript is needed before any offer of employment will be made
  • Two letters of academic recommendation—letters must be signed by the individual rendering the reference and delivered as PDF files. Letters can also be sent directly to STPI-Fellow@ida.org by the recommender.

The application and supporting materials must be submitted no later than January 27, 2017.

IDA is an equal opportunity employer committed to providing a working environment that is free from discrimination on the basis of race, color, religion, sex (including pregnancy and gender identity), sexual orientation, national origin, age, disability, status as a protected veteran, marital status, genetic characteristic, or any other legally protected condition or characteristic.

 

Janssen R&D, a Division of Johnson & Johnson

Multiple Locations: Spring House, Pennsylvania; Titusville, New Jersey; Raritan, New Jersey
Number of Positions: 10
Type of Student: PhD candidate
Deadline for Applying: February 15, 2017

Janssen Research & Development, L.L.C, a member of Johnson & Johnson’s Family of Companies is recruiting for Quantitative Sciences Summer Interns in the Raritan, NJ, Titusville, NJ, and Spring House, PA locations. Janssen Research & Development, LLC discovers and develops innovative medical solutions to address important unmet medical needs in oncology, immunology, neuroscience, infectious diseases and vaccines, and cardiovascular and metabolic diseases. Quantitative Sciences integrates Statistics & Decision Sciences and Global Clinical Pharmacology in a single aligned organization as part of Janssen Research & Development, L.L.C.

For statistics and decision sciences, summer internships are available for students working towards a PhD in statistics, biostatistics, or a related discipline. Students will have the opportunity to work with practicing statisticians and to learn about statistical applications specific to clinical or nonclinical pharmaceutical industry settings. Our teams benefit from the student’s academic training and in turn contribute to the further professional development of the student as well as have a first-hand opportunity to evaluate the student’s potential for future employment.

In this role, students will be involved in activities such as: Supporting Research and Development in areas that range from Drug Discovery through Phase 2 and 3 clinical studies, including: Data preparation, graphical exploration of data, statistical model building and analyses, report writing, and writing of computer programs or applications associated with the statistical analyses. Other activities may include designing experiments, conducting simulations to evaluate optimal designs, and participation in methodological development.

Qualifications

  • Candidates must be enrolled in an accredited college (not necessarily taking classes) and pursuing the following degrees: PhD in Biostatistics, Statistics, or a related discipline.
  • Student must be available for 10-12 weeks from May – August and have the ability to work full-time during that time.
  • A minimum 3.0 GPA is preferred.
  • Students must be able to provide his/her own transportation to/from their work location.

Contact: Please visit the J&J careers website link at for full description and to apply.

 

John S. and James L. Knight Foundation

Miami, Florida
Number of Positions: 1
Type of Student: graduate student preferred, advanced under graduate will be considered
Deadline for Applying: April 30, 2017

Reporting jointly to the Vice President/Learning and Impact and the Director of Grants and Impact Administration, the data collected and analyzed by the intern will help Knight Foundation analyze its Community and National Initiatives strategy.

Key responsibilities:

  • Review and statistical analysis of multiyear grant award and payout reports.
  • Production of summary reports and final report to board.
  • Project management.

Qualifications:

  • Advanced statistical analysis.
  • Deep familiarity with Excel.
  • Data analytics software, data graphics.
  • Ability to quickly learn new databases.
  • Clear, concise writing.
  • Accuracy and attention to detail.

Knowledge of philanthropy a plus but not necessary.

Contact: Email resume to recruiter@knightfoundation.org. No phone calls, please.

 

Joint Program in Survey Methodology: Junior Fellows Program

Washington, DC
Number of Positions: 20
Type of Student: Rising college junior or senior in the 2017/2018 school year
Deadline for Applying: January 9, 2017

Junior fellows will be placed at one of the federal statistical agencies and expected to work 40 hours a week (May 30, 2017 – August 4, 2017) on tasks associated with the development, deployment, and analysis of surveys. Each fellowship is unique, and tasks vary significantly from cognitive interviewing to data cleaning to interviewer training to imputation to data analysis. To ensure a rewarding experience for all, we attempt to match junior fellows with positions based on interest and experience.

In addition to working, junior fellows will attend weekly seminars covering a variety of aspects of survey methodology as well as visit other federal statistical agencies to broaden their understanding of and exposure to the federal statistical system. Finally, fellows will meet graduate faculty of the Joint Program in Survey Methodology and technical leaders in the industry who will answer questions they may have about advanced education and career paths.

Each junior fellow can expect to be paid a minimum of $4,500–$5,000 over 10 weeks. Housing is also provided as part of the fellowship.

Contact: Junior Fellows Management Team, Email: jpsmjuniorfellows@umd.edu

 

Liberty Mutual Insurance

Boston, Massachusetts and Seattle, Washington
Title and Job Posting: Graduate Level Data Science Internship, #76884
Number of Positions: 20-25
Type of Student: Masters and PhD candidates in mathematics, statistics, economics, operations research, or related field. Completion of doctoral prequalifying exams is preferred.
Deadline for Applying: N/A

As a data science intern, you will have the opportunity to apply your academic knowledge and test your skills while working on a variety of real-world business assignments. You will apply statistical methods to translate business issues into meaningful and verifiable quantitative analysis and develop models to understand and find solutions for these complex business questions while working in disciplines such as product management, claims, distribution, marketing, and human resources. Using statistical software such as SAS, R, and Python, you will answer business problems and manipulate data, as well as assist others with conducting business research in a hands-on environment. Each intern also will give a presentation on their work to colleagues and the management team at the conclusion of the summer. Additionally, our robust programming includes opportunities to engage with our data science community through social events, past intern and manager panels, executive speaker series, exposure to various modeling teams, and training tailored to their department or project. Our interns leave with a well-rounded exposure to the insurance industry and how data science is used here.

Competitive candidates will demonstrate proven statistical/mathematical and analytical skills as acquired through the pursuit of a PhD degree and a record of academic achievement with a minimum 3.0 cumulative GPA. Solid oral/written communication skills and the ability to work in a team environment and independently are desired. Proficiency in MS Office, Excel, SAS, and a statistical software package are preferred. Programming skills are desirable. To apply, go to Liberty Mutual’s website. Housing subsidy available for eligible candidates.

Contact: Christina Beaulieu – Program Manager and Erika Howe Carter – Graduate Recruiter, 175 Berkeley Street, Boston, MA 02116; (617) 357-9500; (617) 574-5709 (fax); GradCampusRecruiting@LibertyMutual.com

 

The Lubrizol Corporation

Suburb of Cleveland, Ohio
Number of Positions: 2
Type of Student: BS, MS, PhD
Deadline for Applying: February 10, 2017

The R&D statistics and data analytics department consults with chemists, formulators, and engineers on problems of product and process development, along with general problem solving. Specific activities include building predictive models, designing and analyzing experiments, performing general data analyses, creating analytics systems, and teaching courses. A major activity within the group is the development and deployment of a global formulation prediction system known as Q.LIFE.

Whereas the actual duties depend on the skills of the intern and current needs of the department, possible areas of involvement include performing data manipulation and analysis, assisting members of the department with consulting tasks, performing method assessment and development, and carrying out statistical and/or web services programming.

There are two opportunities: The Statistics & Data Analytics Internship is for MS/PhD students with good statistical and computing skills, whereas the Data Analytics Internship is for BS/MS students with excellent computing skills.

Contact: To apply for a three-month summer internship, go to job website and search for “data analytics.” Brittany Folino, (440) 347-5359.

 

Mayo Clinic

Rochester, Minnesota
Number of Positions: 10-12
Type of Student: Undergraduate, Graduate, PhD
Deadline for Applying: January 13, 2017

The Mayo Clinic Division of Biomedical Statistics and Informatics has summer internship opportunities for undergraduate students who have completed their junior year and graduate students at all levels. Internships of 6–9 months may also be offered.

Interns will work with statisticians, bioinformaticists, and clinical investigators on research projects in areas such as clinical trials, statistical genetics, and bioinformatics. Experience with SAS and/or R is preferred. Whether an applicant will be offered a position depends on their qualifications, our need, available funding, and the number of applicants.

To apply, submit an unofficial transcript, résumé, and cover letter at the Mayo Clinic website. Search “Biostats” (statistical internship) or “Intern-IS” (informatics internship) and our current openings will be available. For more information, visit Mayo Clinic.

Contact: Bud Harris, Department of Human Resources, Mayo Clinic, 200 First St. SW, Rochester, MN 55905; (480) 342-3493; (507) 284-1445 (fax)

 

Mental Health in the Country of Ukraine

Kiev, Ukraine (2 weeks); Sioux Center, Iowa (8 weeks)
Number of Positions: 9
Type of Student: Undergraduate
Deadline for Applying: January 31, 2017

Undergraduate students with an interest in applying complex survey sampling techniques to the analysis of population-based psychological/mental health data from the Ukraine are encouraged to apply to this international research program. Successful applicants will work with a team of undergraduate students on interdisciplinary research projects investigating a variety of research questions about this developing country, leading to publication in peer-reviewed journals and presentations at regional and national conferences. Visit the website for more information and to apply.

Participants will receive a $5,000 stipend for the 10-week program, which runs from May 18 to July 28, 2017. The first two weeks of the program will be spent in Ukraine (travel, lodging, and related expenses are paid for by the program), working with research collaborators at the Kiev International Institute of Sociology. The remaining eight weeks of the program will be spent in Sioux Center, Iowa.

Some projects are appropriate for students with more statistical background and others for students with less, so all levels of students are encouraged to apply. Free apartment-style housing and funds for travel to/from Sioux Center, Iowa, will be provided. Applicants must be U.S. citizens. Some hiring may take place prior to the deadline, so applicants are encouraged to submit their application materials as soon as possible.

Contact: Nathan Tintle, Department of Mathematics and Statistics, Dordt College, 498 4th Ave. NE, Sioux Center, IA 51250; (712) 722-6264

 

Merck Research Laboratories

Suburban Philadelphia, Pennsylvania; Rahway, New Jersey; Kenilworth, New Jersey
Number of Positions: Approximately 10
Type of Student: Graduate
Deadline for Applying: Rolling Deadline

Merck is a global health care leader with a diversified portfolio of prescription medicines, vaccines, and animal health products. Today, we are building a new kind of health care company—one that is ready to help create a healthier future for all of us.

The biostatistics and research decision sciences (BARDS) department has approximately 10 internships (~ 9–12 weeks) in preclinical biostatistics and clinical biostatistics for full-time students pursuing an MS or PhD in statistics or biostatistics. In these internships, you will work closely with an experienced pharmaceutical industry statistician to perform statistical analysis of data from statistical research related to basic drug research, clinical pharmacology, drug and vaccine development, or pharmacogenomics.

Required

  • Must have completed at least two semesters of graduate work toward an MS or PhD in statistics or biostatistics by May 30, 2017
  • Must be available for 9–12 weeks, beginning June 2017
  • Must be returning to school in Fall 2017
  • Must have effective oral and written communication skills
  • Must have a good working knowledge of SAS, S-Plus, and/or R

Merck is an equal opportunity employer, M/F/D/V – proudly embracing diversity in all of its manifestations.

Contact: To be considered for these internship positions, please visit our career page to create a profile and submit your résumé for the biostatistics internship. Résumés will not be accepted via email.

 

Merck and Co.

Kenilworth, New Jersey
Number of Positions: 1
Type of Student: PhD (completed 3 years of graduate work)
Deadline for Applying: January 31, 2017

The Quantitative Pharmacology and Pharmacometrics (QP2) group at Merck is now hiring a summer intern who will have an opportunity to work for approximately 10 weeks with both statisticians and pharmacometricians developing and implementing a Bayesian approach to pharmacokinetic and pharmacodynamic (PK/PD) modeling in Stan, a software commonly used in Bayesian data analysis.

Required Qualifications:

  • Must be a PhD student with at least three years of graduate work.
  • Have a solid understanding of Bayesian inference.
  • Have a strong working knowledge of R.
  • Have good oral and written communication skills.
  • Must be eligible to work in the United States.

Preferred Qualifications:

  • Prior experience with Stan, WinBUGS, or JAGS.
  • Currently performing research and/or writing dissertation on a Bayesian topic.

Merck & Co., Inc. Kenilworth, N.J., U.S.A. known as Merck in the United States and Canada, is a global health care leader with a diversified portfolio of prescription medicines, vaccines and animal health products. Today, we are building a new kind of healthcare company – one that is ready to help create a healthier future for all of us.

Our ability to excel depends on the integrity, knowledge, imagination, skill, diversity and teamwork of an individual like you. To this end, we strive to create an environment of mutual respect, encouragement and teamwork. As part of our global team, you’ll have the opportunity to collaborate with talented and dedicated colleagues while developing and expanding your career.

Interested Candidates please apply online.

Contact: Casey Davis

 

National Agricultural Statistics Service/USDA

Washington, DC
Number of Positions: Multiple
Type of Student: Graduate Student (PhD preferred)
Deadline for Applying: March 31, 2017, but offers may be made earlier

NASS is one of the two statistical agencies in the U.S. Department of Agriculture and the primary survey/data collection agency. NASS designs and conducts a variety of surveys and agricultural research. Survey results are combined with other data, such as that from remote sensing and administrative records, to provide forecasts and estimates of agricultural activity. NASS produces six of the principal federal economic indicators, and its estimates provide basic supply information for the commodity markets.

Intern positions are in the research and development division, which continually improves and enhances the methods supporting the agency’s forecasts and estimates, and in the methodology division, which implements state-of-the-art designs in sampling, questionnaire design, and estimation for survey operations.

Preference will be given to candidates having an interest in a future career with NASS. Applicants must be U.S. citizens. NASS is interested in hiring geospatial analysts, mathematical statisticians, statistical programmers, and survey methodologists for positons in both research and operational environments.

Contact: Linda Young, USDA/National Agricultural Statistics Service, Room 6035, 1400 Independence Ave., SW, Washington, DC 20250-2040; (202) 690-1401; (855) 593-5472 (fax)

 

National Cancer Institute

Rockville, Maryland
Number of Positions: 2
Type of Student: Flexible
Deadline for Applying: Three months before you want to start

Clinical trials methodological research, specifically helping to prepare manuscripts (for publication) focusing on the design and analysis of clinical trials. Please see the NCI website.

This is an unpaid internship. To compensate, we try to make the experience as educational and rewarding as possible. There is no clerical work. Rather, the intern engages in high-level methodological research in areas of substantial importance in the design and analysis of randomized clinical trials. Recently, we have focused mostly (but not exclusively) on the nexus among randomization methods, allocation concealment, and selection bias. Please familiarize yourself with this area of research before making contact. Thank you.

Contact: Vance Berger, (240) 276-7142 or vance917@gmail.com.

 

National Ecological Observatory Network (NEON)

Boulder, Colorado
Number of Positions: 6 Internships
Type of Student: undergraduate
Deadline for Applying: February 10, 2017

NEON is currently seeking qualified candidates for six research projects

NEON offers a variety of research internships for undergraduates each summer, from helping to design sensor assemblies to testing sampling protocols and analyzing data. Interns work alongside staff mentors; and explore career options in weekly professional development seminars and networking events with interns from other scientific programs based in Boulder, CO. Interns work 40 hours a week and are paid a competitive salary. Airfare and housing are also covered by the program.

To apply, visit NEON’s website.

Contact: Juli Garn

 

Novartis

East Hanover, New Jersey; Cambridge, Massachusetts
Number of Positions: Multiple
Type of Student: Graduate, PhD
Deadline for Applying: January 31, 2017

A global health care leader, Novartis has one of the most exciting product pipelines in the pharmaceutical industry for innovative medicines being brought to life by diverse, talented, and performance-driven people. The department of biostatistics and pharmacometrics will have multiple internship positions available for approximately 12 weeks (May to August; dates flexible).

Interns will work on statistical projects to design and analyze clinical trials and/or perform relevant statistical research under the guidance of senior-level statisticians. Various real-world problems will give interns exposure to early and late phases of drug development across different therapeutic areas, including oncology, cardiology, immunology, neurology, ophthalmology, and respiratory care. Potential topics include survival analysis, longitudinal data analysis, missing data, interim analysis, Bayesian statistics, nonparametric statistics, and PK/PD modeling. Interns will also attend seminars and other activities to enhance their understanding of the drug development process.

Candidates must be enrolled in a graduate-level program working toward a PhD in biostatistics, statistics, or a related discipline and have completed at least 1.5 years of course work.

Competitive candidates must have excellent oral and written communication skills and strong problem-solving skills. Working knowledge of SAS is preferred, and some projects require a strong background in R and/or other statistical software.

Contact: Sandra Bedoya, 1 Health Plaza, East Hanover, NJ 07936.

 

Novartis Institutes for BioMedical Research

Cambridge, Massachusetts
Number of Positions: 1
Type of Student: Graduate student in an MS or PhD program in Biostatistics or Statistics with at least 1.5 years of graduate work completed
Deadline for Applying: April 28, 2017

The BioMarker Development (BMD) department at the Novartis Institutes for BioMedical Research has an opening for a summer intern to evaluate study designs for biomarker studies in the context of clinical trial data. Working under the supervision of a senior biostatistician and in close consultation with scientists in BMD, the intern will analyze several Novartis biomarker studies to assess how certain key design elements affect statistical power to discover biomarkers, ultimately leading to recommendations for ways to optimize study design. Upon completion of the project the intern will present the major findings at a meeting of scientists and statisticians from various Novartis functions within and outside of BMD.

Other Relevant Information: The internship will be 12 weeks in duration. Housing will be provided as needed.

Contact: Please send CV and cover letter to Steve Lewitzky, Dept. of BioMarker Development, Novartis Institutes for BioMedical Research.

 

Oak Ridge Associated University (ORAU)

Oak Ridge, Tennessee
Number of Positions: multiple
Type of Student: Graduate
Deadline for Applying: March 1, 2017

The National Science Foundation (NSF) Division of Mathematical Sciences (DMS) aims to provide opportunities to enrich the training of graduate students in the Mathematical Sciences through the provision of an NSF Mathematical Sciences Graduate Internship Program. This program will provide an opportunity for mathematical sciences doctoral students to participate in internships at federal national laboratories, industry and other approved facilities. Participation in an internship will provide first-hand experience of the use of mathematics in a nonacademic setting. The internships are aimed at students who are interested in understanding the application of advanced mathematical and statistical techniques to “real world” problems, regardless of whether the student plans to pursue an academic or nonacademic career.

Please visit the program website or email NSF-MSGI@ORISE.ORAU.GOV for detailed information on eligibility and application instructions.

Contact: Mr. John Permaul or Ms. Janeen Pointer, (865) 474-1447; NSF-MSGI@ORISE.ORAU.GOV

 

Pfizer Inc.

La Jolla, California; Groton, Connecticut; Collegeville, Pennsylvania; Cambridge, Massachusetts; New York, New York; Andover, Massachusetts; Pearl River, New York
Number of Positions: 15
Type of Student: Graduate student in statistics, biostatistics, or related field
Deadline for Applying: February 24, 2017

At Pfizer, there are more than 200 statisticians working on all phases of drug development—from discovery, development, and manufacturing to commercialization. Pfizer is recognized as an industry leader in the use of modeling and simulation to drive drug development. Statisticians are members of the ‘clinical triad,’ where each of the statistical, clinical, and clinical pharmacology disciplines bring their respective skills to bear in a collaborative manner to deliver the very best trial designs and analyses.

The internship will consist of up to 480 hours of work at one of the Pfizer sites in New York, California, Connecticut, Massachusetts, or Pennsylvania, commencing as early as April and ending as late as December. The intern’s project will be biopharmaceutically oriented, with one-on-one supervision by a senior staff statistician. The work will be a hands-on learning experience focusing on current project needs and will likely involve use of SAS, R, or other statistical software. As part of the internship program, the intern will prepare a written report and brief presentation summarizing the work and forming a permanent record of the intern’s efforts.

Contact: Xun Lin, Director, Pfizer Inc., 10555 Science Center Drive, CB10-002/2207, San Diego, CA 92121

 

Precision Bioassay, Inc

Burlington, VT
Number of Positions: 1-2
Type of Student: Second year or later PhD
Deadline for Applying: March 31, 2017

Students will contribute to statistical consulting for pharmaceutical and biotechnology companies, conduct a research project, and contribute to the development of bioassay analysis software. The consulting work will include participating in phone meetings with clients, data analysis, experimental design, and report writing. The research project will focus on statistical methods for biological assays using nonlinear mixed models or generalized linear mixed models; this may address questions about design or analysis, and will likely involve simulation experiments. The job requires experience and familiarity with R, mixed models, linear and nonlinear models and at least one year of theory and one year of methods in statistics or a closely related field.

Substantial programming experience, a minor in computer science, training in biology, and pharmaceutical industry experience are all desirable. To learn more about our company please visit our website.

There are one or two internships available, depending on funding. Please only apply if you will be a student returning to graduate study after this internship.

Applications will not be considered without all of: a cover letter, a resume, and a brief description of at least one, and preferably two or three consulting projects. The description of consulting projects is necessary because our consulting practice requires that we frequently and succinctly communicate results to clients in writing. For each project, please describe the practical problem being addressed, the statistical solutions you applied, and how the statistical solution addressed the practical problem. Please do not submit a previously written paper, but summarize the results of each project in one or two pages.

Burlington, VT is a university town located on Lake Champlain. Beautiful in winter and summer, the Green Mountain state offers a wide range of activities.

Contact: David Lansky, Precision Bioassay, Inc.; 431 Pine St., Suite 110, Burlington, VT 05401; (802) 865- 0155; (802) 861-2365 (fax)

 

RAND Corporation

Santa Monica, California; Washington, D.C.; Pittsburgh, Pennsylvania; Boston, Massachusetts
Number of Positions: Multiple
Type of Student: Graduate students who have completed at least two years of graduate work leading to a doctorate
Deadline for Applying: January 5, 2017

RAND’s Summer Associate Program introduces outstanding graduate students to RAND, an institution that conducts research on a wide range of national security problems and domestic and international social policy issues. The program runs in the summer months only. Summer associates work at RAND full-time for a 12-week period. Positions are available in RAND’s major U.S. offices. All Summer associates are co-located with project mentors. RAND is interested in students who are currently enrolled in PhD programs in statistics, biostatistics, or applied statistics. Candidates should have strong theoretical training and empirical skills, including experimental design, sampling, and modeling. Experience with causal inference, multilevel modeling, social network analysis, spatial statistics, and survey methods are also strongly desired. Programming in R, SAS, or WinBUGS are also useful.

RAND accepts applications only through our website. Summer Associate Program and application details are available. Applications mailed directly to RAND or emailed to our Summer Director will not be considered.

Contact: Summer_Director@rand.org.

 

 

REsurety, Inc.

Location: Boston, MA
Number of Positions: 1
Type of Student: undergrad, graduate
Deadline for Applying: none

REsurety is a venture-backed FinTech startup that is eliminating the challenge of resource intermittency for the wind power industry. We are revenue-positive, have active customers, and work in partnership with some of the world’s leading risk market players. Our team keeps an informal office with open lines of communication, little hierarchy, and a rapid pace. If putting your skills to work to drive down the cost of renewable energy by solving the challenge of resource intermittency sounds exciting, then we would love to receive your application.

Engineering Intern

As an intern on the Engineering team, you will help us advance our current data architecture to the next level by supporting the backend development, exploring new technologies, and writing flawless code.

Other Relevant Information:
Key Responsibilities:

  • Create and maintain relational and non-relational databases
  • Write code in R to communicate our analytical engine with multiple data sources
  • Deploy cloud technology solutions (e.g., Azure, Rackspace), preferably with AWS

Required Qualifications:

  • 1+ years of experience that is directly related to the key responsibilities above
  • Experience with the R language (secondary preference for MATLAB/Python)
  • Experience with Linux systems, bash command line, and basic knowledge of networking
  • Experience with ETL applications
  • Major in computer science, electrical engineering, or a related field

Preferred Qualifications:

  • A passion for driving down the cost of energy from renewable sources
  • Self-motivated and detail-oriented: capable of executing software development with little oversight
  • Applied experience and demonstrated success in wind energy and/or power markets

Details:

  • Minimal travel required
  • Part time: ~20 hours per week (flexible)
  • Duration: 10+ weeks

As an EO/AA employer, REsurety, Inc. prohibits discrimination in its employment practices on the basis of an applicant’s race, color, age, religion, sex (including pregnancy, gender identity, and sexual orientation), genetic information, national or ethnic origin, disability veteran status, or other protected class.

Contact: Interested applicants should send a cover letter and resume to Christian Rivero.

 

Sanofi US Inc.

Bridgewater, New Jersey
Number of Positions: Multiple
Type of Student: PhD candidates in statistics or biostatistics
Deadline for Applying: February 5, 2017

Successful candidates will work on design and analysis of early- and late-phase clinical trials as well as statistical research for design and analysis methods of clinical trial data under the supervision of senior-level statisticians. Successful candidates must have completed at least two years of graduate course work and be working on the dissertation toward a PhD in statistics or biostatistics. They also must have effective oral and written communication skills and good knowledge of SAS and/or R.

To apply, email a résumé and unofficial graduate transcript to the contact below.

Contact: Myrna Roberts, Department of Biostatistics and Programming, Sanofi US Inc., 55 Corporate Drive, Bridgewater NJ 08807; (908) 981-6045

 

SAS Institute Inc.

Cary, North Carolina
Number of Positions: 2
Type of Student: PhD students studying in the United States who have completed at least two years of graduate work by the end of the spring semester 2017
Deadline for Applying: January 13, 2017

The statistical software development division at SAS is pleased to announce the SAS Summer Fellowship in Statistics. Open to doctoral candidates in statistics, biostatistics, and related graduate departments in the United States, this fellowship offers the opportunity to work closely with professional statisticians who develop software used throughout the world. The statistical fellow will contribute to research, numerical validation and testing, and documentation. The program provides an excellent opportunity to explore software development as a career choice.

Eligible candidates must have completed at least two years of graduate work by the end of the spring semester of 2017 and have demonstrated experience in statistical computing beyond the routine classroom use of statistical packages.

We are particularly interested in candidates with research experience in computational aspects of one of the following areas: Bayesian modeling, causal inference methods, complex survey methods, joint modeling, latent variable models, missing data methods, nonlinear mixed models, sparse methods for high-dimensional modeling, structural equations modeling, or survival analysis.

The program provides a salary and stipend for a 12-week internship at SAS headquarters in Cary, North Carolina, during the summer of 2017.

You may apply to and view all SAS fellowship opportunities. In addition, you must ensure that two faculty members from your graduate program send a letter of recommendation via PDF to SASFellows@sas.com by January 13, 2017.

Contact: If you have any questions about the program, please send an email to SASFellows@sas.com.

 

Social and Decision Analytics Laboratory, Virginia Biocomplexity Institute of Virginia Tech

Arlington, Virginia
Number of Positions: 4+
Type of Student: Undergraduate, Graduate, PhD
Deadline for Applying: February 1, 2017

The Social and Decision Analytics Laboratory (SDAL) develops premier statistical and data science capability for the ambitious Virginia Biocomplexity Institute’s initiative of “Information Biology”—the study of massively interacting systems ranging from molecular to social phenomena. SDAL brings together a range of specialties across statistical and social and behavioral sciences in a team science environment to study social issues that affect integrated human habitat, health, and well-being.

SDAL provides research opportunities for undergraduate and graduate students (master’s and PhD level) in all disciplines. Students will work on vertically integrated teams with post-docs; research staff; and local, state, and federal agency leadership to undertake interdisciplinary research that embraces today’s data revolution. They will conduct research to develop evidence-based quantitative methods that inform science and technology policy.

SDAL is in Virginia Tech’s National Capital Region research center located in Arlington, Virginia. For examples of the kinds of projects students work on, visit the website.

To be considered for a 2017 summer internship appointment, please apply online at www.bi.vt.edu/sdal/careers/call-for-students. The online application will request a résumé, cover letter stating why this internship is of interest to you, two reference letters, and answers to a few questions.

Contact: Stephanie Shipp, Deputy Director and Research Professor, Social and Decision Analytics Laboratory (SDAL), Biocomplexity Institute of Virginia Tech, 900 North Glebe Road, Arlington, VA 22203; (571) 858-3123 or 540-808-5226 (mobile)

 

StataCorp LP

College Station, Texas
Number of Positions: 1
Type of Student: Graduate student in biostatistics or a closely related field
Deadline for Applying: January 15, 2017

StataCorp’s biostatistical department is seeking a statistical intern. Interns work with a senior member of Stata’s development team. This position may include projects in survival analysis, pharmacokinetic analysis, and clinical trials.

StataCorp’s summer internships offer the opportunity for students to learn the inner workings of statistical software development by working closely with StataCorp’s professional staff at their campus in College Station, Texas. Statistical software development is a challenging and rewarding career, ideal for those with a graduate education in biostatistics or a related field and those with a keen interest in using their problem-solving skills to produce commercial software for use by all types of researchers, from medical professionals to leaders in finance.

Job duties may include learning how to use and program in Stata; collaborating on projects suitable for publication in the Stata Journal; creating support materials; and assisting in adding new features to Stata in the area of biostatistics, along with testing and documenting those features.

Candidates must be enrolled in a graduate program in biostatistics or a related quantitative field, have good technical writing skills, and be able to communicate effectively in English. A strong mathematical background and experience programming in Stata, other statistical languages, C/C++, and Java is desirable.

Apply at the StataCorp website.

StataCorp LP is an affirmative action employer—minorities/females/veterans/disability.

 

StataCorp LP

College Station, Texas
Number of Positions: 1
Type of Student: Graduate student in economics, econometrics, finance, or a closely related field
Deadline for Applying: January 15, 2017

StataCorp’s econometrics department is seeking a statistical intern. Interns work with a senior member of Stata’s development team. This position may include projects in panel-data analysis, time-series analysis, and causal inference.

StataCorp’s summer internships offer the opportunity for students to learn the inner workings of statistical software development by working closely with StataCorp’s professional staff at their campus in College Station, Texas. Statistical software development is a challenging and rewarding career, ideal for those with a graduate education in econometrics, finance, or a related field and those with a keen interest in using their problem-solving skills to produce commercial software for use by all types of researchers, from medical professionals to leaders in economics and finance.

Job duties may include learning how to use and program in Stata; collaborating on projects suitable for publication in the Stata Journal; creating support materials; and assisting in adding new features to Stata in econometrics and finance, along with testing and documenting those features.

Candidates must be enrolled in a graduate program in economics, econometrics, finance, or a related quantitative field; have good technical writing skills; and be able to communicate effectively in English. A strong mathematical background and experience programming in Stata, other statistical languages, C/C++, and Java are desirable.

Apply at the StataCorp website.

StataCorp LP is an affirmative action employer—minorities/females/veterans/disability.

 

StataCorp LP

College Station, Texas
Number of Positions: 1
Type of Student: Graduate student in statistics or a closely related field
Deadline for Applying: January 15, 2017

StataCorp’s statistical department is seeking a statistical intern. Interns work with a senior member of Stata’s development team. This position may include projects in maximum likelihood estimation, multiple imputation, power and sample-size analysis, Bayesian analysis, and nonparametric statistics.

StataCorp’s summer internships offer students the opportunity to learn the inner workings of statistical software development by working closely with StataCorp’s professional staff at their campus in College Station, Texas. Statistical software development is a challenging and rewarding career, ideal for those with a graduate education in statistics or a related field and those with a keen interest in using their problem-solving skills to produce commercial software for use by all types of researchers, from medical professionals to leaders in finance.

Job duties may include learning how to use and program in Stata; collaborating on projects suitable for publication in the Stata Journal; creating support materials; and assisting in adding new statistical features to Stata, along with testing and documenting those features.

Candidates must be enrolled in a graduate program in statistics or a related quantitative field, have good technical writing skills, and be able to effectively communicate in English. A strong mathematical background and experience programming in Stata, other statistical languages, C/C++, and Java is desirable.

Apply at the StataCorp website.

StataCorp LP is an affirmative action employer—minorities/females/veterans/disability.

 

Summer Institute in Biostatistics (SIBS)

Atlanta, Georgia; Boston, Massachusetts; Denver, Colorado; Iowa City, Iowa; Minneapolis, Minnesota; Raleigh/Durham, North Carolina
Number of Positions: Up to 25 at each site
Type of Student: Undergraduates majoring in mathematics, statistics, biology, or another science who have an interest in quantitative methods. Those who already have a baccalaureate degree are also eligible to apply, but priority will be given to undergraduates at the time of application. U.S. citizenship or permanent resident status is required.
Deadline for Applying: Early March 2017 or as specified by individual sites

The Summer Institute in Biostatistics (SIBS)—sponsored by the National Heart, Lung, and Blood Institute (NHLBI)—provides a comprehensive six- to seven-week program designed to expose undergraduate students to the exciting opportunities offered by a career in biostatistics and to encourage them to pursue graduate study in the field. The term “biostatistics” is used in the broad sense, including statistical genetics, bioinformatics, and data science.

The program will be offered at six sites in the summer of 2016. Although each program will be different, all will be focused on providing participants with an intensive introduction to biostatistical principles and methodologies and the essential role of biostatistics in health sciences research, including biomedical Big Data. Participants will enjoy instruction and lectures by recognized experts in the field; meet practicing biostatisticians, epidemiologists, and statistical geneticist and genomicists; and gain real-world experience working with data from internationally recognized studies.

The program covers tuition, housing, meals, and extracurricular activities, and participants will earn college credit that can be transferred back to their home institutions.

Applications should be made to each program site separately; there is no restriction on to how many programs a student may apply.

Contact:
NHLBI SIBS

Boston University

NC State University – Duke University

University of Iowa

University of Colorado-Denver

University of Minnesota

Emory University

 

Takeda Pharmaceutical Company Limited

Cambridge, Massachusetts
Number of Positions: 5–10
Type of Student: PhD
Deadline for Applying: April 1, 2017

Takeda research and development uses science and innovation to improve people’s lives in various therapeutic areas. Interns will work closely with experienced industry statisticians on topics related to the design and analysis of clinical trials and/or pre-clinical research.

Candidates must be enrolled in a PhD statistics program (which includes biostatistics, bioinformatics, and mathematics programs with an emphasis on statistics). Candidate PhD students must have passed qualification exams. Three years or more of training post-bachelor’s degree is preferred. At the end of the internship program, interns will give a presentation summarizing their work.

Contact: Intern Coordinator, Department of Biostatistics, (617) 374-7754; (617) 551-8644 (fax)

 

Undergraduate Research Program in Statistical Genetics

Sioux Center, Iowa
Number of Positions: 5–6
Type of Student: Undergraduate
Deadline for Applying: January 31, 2017

Undergraduate students with an interest in statistical genetics and biostatistics are encouraged to apply to participate in the 12th consecutive year of our nationally recognized undergraduate research program in statistical genetics. Successful applicants will work with a team of other undergraduate students on cutting-edge problems in statistical genetics leading to publication in peer-reviewed journals and presentations at regional and national conferences. Visit the statistical genetics website at www.dordt.edu/statgen for more information, a link to this year’s project descriptions, and an application.

Participants will receive a $4,000 stipend for the eight-week program, which runs from June 5 to July 28, 2017. Free apartment-style housing and funds for travel to/from Sioux Center, Iowa, will be provided. Applicants must be U.S. citizens. Some hiring may take place prior to the deadline, so applicants are encouraged to submit their application materials as soon as possible.

Contact: Nathan Tintle, Department of Mathematics and Statistics, Dordt College, 498 4th Ave. NE, Sioux Center, IA 51250; (712) 722-6264

 

Thomas Jefferson University Division of Biostatistics

Philadelphia, PA
Number of Positions: 3
Type of Student: undergraduate, graduate
Deadline for Applying: February 15

The Division of Biostatistics in the Department of Pharmacology and Experimental Therapeutics at Thomas Jefferson University will sponsor up to 3 students as summer interns. Interns will be supervised directly by one of the division faculty and will have the opportunity to interact with other division faculty and investigators across the university.

The goals of the program are to:

  • Introduce promising students to opportunities for applying statistical thinking to research in the biomedical sciences.
  • Give students real-world experience with analysis of data.
  • Develop students’ statistical programming skills in SAS, R, and other languages.
  • Allow students to practice communicating statistical methods and results through written and oral presentations.

Students must be:

  • Enrolled in an undergraduate or graduate program. Undergraduate students may be enrolled in any program, but should have strong mathematical and analytical skills and at least one course in computer programming. Graduate students should be enrolled in a program in statistics, biostatistics, or similar field.
  • Interested in pursuing a career in (Bio)statistics, Data Science, or other similar quantitative science.

All interns will be paid a small stipend. To apply send cover letter with statement of interest, GPA, and names of two references and CV/resume to the contact below.

Contact: Gloria Elnitsky, 1015 Chestnut St., Suite 520, Philadelphia, PA 19107; (215) 955-9079; (215) 503-3804 (fax)

 

University of Arkansas for Medical Sciences/Arkansas Children’s Hospital—Department of Pediatrics

Little Rock, Arkansas
Number of Positions: 1–2
Type of Student: Graduate
Deadline for Applying: January 30, 2017

To be considered, candidates must be enrolled in a graduate program at an accredited institution leading to a master’s or a PhD in statistics or biostatistics. Candidates must have had a minimum of two full semesters of graduate-level statistics courses or equivalent prior to starting their summer internship and must be returning to school in the fall of 2017. Candidates must have a strong statistical/methodological background, strong analytical skills, the ability to work under minimum supervision, the ability to work on a team, and excellent communication skills. Previous research experience is highly valuable, but not required. Experience with SAS/R/STAT is highly preferred.

Successful candidates will work under the supervision of faculty biostatisticians and gain practical work experience in applying statistical methods to data from clinical trials and/or research studies.

Arkansas Children’s Hospital (ACH) is one of the largest pediatric health care centers in the nation and the only facility in Arkansas dedicated exclusively to children. Stretching along the Arkansas River, Little Rock is a wonderful place to live, work, and play. Whether an applicant will be offered a position will depend on ACH’s need and funding, as well as the applicant’s qualifications.

To apply, send an undergraduate and graduate transcript (request for undergraduate transcripts may be waived for international students only), résumé, and cover letter to the contact below. For more information, visit the department of pediatrics.

Contact: Amber Sharp, 1 Children’s Way, Slot 512-43, Little Rock, AR 72202; (501) 364-6631; (501) 364-1431 (fax)

 

U.S. Census Bureau

Suitland, Maryland
Number of Positions: Multiple
Type of Student: Current students in an accredited high school; college (including four-year colleges/universities, community colleges, and junior colleges); professional, technical, vocational, and trade schools; advanced degree programs; or other qualifying educational institution pursuing a qualifying degree or certificate
Deadline for Applying: January 2017

Interns may be converted to a permanent position (or, in limited circumstances, to a term position lasting 1–4 years) within 120 days of successful completion of the program.

To be eligible for conversion, interns must do the following:

  • Complete at least 640 hours of work experience acquired through the internship program
  • Complete their degree or certificate requirements
  • Meet the qualification standards for the position to which the intern will be converted
  • Meet agency-specific requirements as specified in the participant’s agreement
  • Perform their job successfully

Contact: Pathways Program Coordinator, Human Resources Division; (301) 763-4910

 

USDA/Economic Research Service (ERS)

Washington, DC
Number of Positions: 20–25 (summer internship only—not to exceed September 30, 2017)
Type of Student: Economics – Undergraduate, Master’s, and PhD; Information Specialist – Undergraduate and Master’s
Deadline for Applying: First or second week in February, date to be determined. It will be opened for two weeks once commenced.

Economics

The student will gain valuable research experience by assisting highly skilled economists and/or social scientists and work with ERS models and data sets. These positions require individuals with a foundation in economic theory and quantitative skills; experience with data collection, econometric analysis, data base management, and/or mathematical programming and models; and good communications skills. Interns will participate in a variety of research projects involving agriculture and environment, domestic and international markets, agricultural and trade policy, food safety, diet and nutrition, consumer economics, rural development, and agricultural finance.

Information Specialist

The student will gain valuable experience in customer support via the Help Desk. The student will focus on installing and configuring the agency’s operating system; software installation and updates; troubleshooting Adobe web development programs, Office 2007 software suite, computer systems, and software programs. Other information specialist positions may focus on GIS creation and execution.

These positions are for the summer only. The student can start in May and work until September 30, 2017. Jobs are announced via USAJobs.com only. Résumés and transcripts cannot be sent directly to the agency. The application period is two weeks once opened.

 

Vermont EPSCoR

Burlington, Vermont
Type of Student: PhD
Deadline for Applying IS CLOSED as of 5/3/2017

Climate Statistics PhD Student
Position ID: GRA#008

Vermont EPSCoR’s latest Track 1 award, Basin Resilience to Extreme Events, is recruiting for a number of positions within the next year to work on a cutting-edge, large-scale, interdisciplinary, NSF-funded study that will determine how the Lake Champlain Basin’s landscape, watershed, and lake conditions respond to extreme weather events.

We are seeking a PhD-level graduate research assistant who will be responsible for i) statistical modeling of climate change projections in support of downstream models and ii) using these climate change projections to simulate forest dynamics in our New England study region. This GRA will require or develop technical expertise in R/Python, Bayesian statistics, and running simulations models in a Linux-based high-performance computing environment. It is expected that the successful applicant will have an undergraduate or master’s degree in a quantitative or computational field.

Qualifications

  • An undergraduate or master’s degree in a quantitative or computational field, coursework in statistics, and knowledge/facility with a programming language.
  • This year-round, multi-year position comes with a research assistantship that is renewable through May 2021. The position will begin on June 1, 2017, (as soon as possible thereafter) and applications will be considered until the position is filled. NOTE: This is not a summer internship for current PhD students, but a full-time PhD program for prospective PhD students.
  • To apply, send a CV; names and contact information for three references; and a cover letter outlining research interests, expertise, and availability to epscor@uvm.edu and reference Position ID GRA#008.

Contact: Questions can be directed to Arne Bomblies.

 

Westat

Rockville, Maryland
Number of Positions: 2
Type of Student: Graduate
Deadline for Applying: March 31, 2017

Survey Sampling Summer Internship

Survey sampling interns will work closely with our statisticians to design, develop, and implement probability-based sample surveys. Responsibilities include assisting statisticians in developing sample designs (determining stratification and allocation to strata, determining sample size based on differences and power, determining optimal clustering, and selecting samples); selecting and/or constructing an appropriate sample frame; implementing weighting procedures that include nonresponse adjustment and benchmarking; developing and conducting imputation for item nonresponse; and estimating sampling errors using appropriate software.

Candidates must hold a bachelor’s degree in statistics or a similar quantitative technical field of study. Candidates must be enrolled in a master’s or PhD program in statistics with coursework in survey sampling or a master’s or PhD program in survey sampling. The duration of the internship position is approximately from May 29, 2017, through September 1, 2017, with some flexibility.

Survey Methodology Summer Internship

Survey methodology interns will work closely with our survey methodologists to develop and improve survey procedures and capabilities. Responsibilities include conducting and analyzing cognitive interviews, behavior coding, SAS programming, literature reviews, coding qualitative data, assisting with the design of survey procedures and questionnaires, and monitoring survey procedures.

Candidates must hold a bachelor’s degree in math, statistics, quantitative sociology, psychology, or related field of study. Candidates must also be enrolled in a master’s or PhD program in survey methodology. The duration of the internship positions is from approximately May 29, 2017, through September 1, 2017, with some flexibility.

Contact: Recruit@westat.com

 

Wind Data Intern, Commercial Operations

As a wind data intern on the Commercial Operations team, you will support analysis of client data and assist in product delivery.
Location: Boston, MA
Full time during summer months, part time during the school year (flexible)
Duration: 10+ weeks

Other Relevant Information:
Key Responsibilities:

  • Analyze and understand customer site data (meteorological, SCADA, etc.) and power market data
  • Continue the advancement of REsurety’s wind resource assessment capabilities
  • Support the evaluation and structuring of hedging contracts
  • Support the design and implementation of REsurety’s technical architecture and analytics
  • Execute quality control checks of data critical to business processes

Required Qualifications:

  • A passion for driving down the cost of energy from renewable sources
  • Major in atmospheric science, meteorology, power systems engineering or a related field
  • Self-motivated & detail oriented: capable of executing complex analyses with little oversight

Preferred Qualifications:

  • Experience working with meteorological data and power curves
  • Experience with wind industry software tools (Windographer, WAsP, etc.)
  • Knowledge of wind industry resource assessment, operations, and economics

Details:

As an EO/AA employer, REsurety, Inc. prohibits discrimination in its employment practices on the basis of an applicant’s race, color, age, religion, sex (including pregnancy, gender identity, and sexual orientation), genetic information, national or ethnic origin, disability veteran status, or other protected class.

Contact: Interested applicants should send a cover letter and resume to Adam Reeve.