2024 Internships

The following companies are looking for interns in 2024. If you are interested in learning new techniques, improving your data analysis skills, and developing teamwork and leadership abilities, apply for one of these opportunities.

Organizations can complete our form to include an internship opportunity on our website. Interested students will send a letter of inquiry and résumé directly to the contact and location listed.

Astellas Pharma

Northbrook, Illinois; Remote (from the United States or United Kingdom)
Positions: 3+
Type of Student: PhD candidate in statistics or a related discipline
Deadline: January 26, 2024

Full-time internships are available in the summer for 10–12 weeks. Successful candidates will work closely with a senior-level statistician and/or real-world data expert on the design and analysis of clinical trials, observational studies, epidemiology, and statistical research topics.

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

To be considered, applicants must complete at least two years of graduate-level coursework and work on a dissertation toward a PhD in statistics, biostatistics, mathematics, epidemiology, or related discipline. The applicant must be legally authorized to work in the United States or United Kingdom. In addition, applicants should have good programming skills, as noted above, and good communication skills.

Apply: Send a CV, personal statement of interest, and letter of recommendation to Biostat.Intern@Astellas.com.

AstraZeneca

Gaithersburg, Maryland; Durham, North Carolina; Waltham, Massachussets
Positions: 6–8
Type of Student: PhD (preferred) or MS candidates in statistics or biostatistics
Deadline: December 29, 2023

AstraZeneca will have multiple full-time summer biostatistics internships lasting approximately 10–12 weeks (May/June to August/September; dates flexible). As a biostatistics intern, you will work closely with an experienced statistician on one statistical topic from clinical trials. Topics involve statistical work in early- and late-phase drug development with applications to oncology, rare disease, cardiovascular, and respiratory areas.

At the end of the internship, you will be expected to present your work within AZ Biometrics. Candidates must have a good knowledge of R and/or SAS.

The AstraZeneca intern program is only for US college/university students who do not require sponsorship. Interns must be 18 years or older.

Contact: Sara Rydahl-Kim

More information: AstraZeneca website

Biogen

Remote
Positions: 6
Type of Student: PhD
Deadline: February 15, 2024

Our internships are 10–12-week (June to August) summer assignments focused on concrete projects to advance Biogen’s mission. Throughout the summer, interns have access to specialty programming such as networking lunches, learning and development events, and our Care Deeply Day (a paid volunteer day for community service). Interns also have an opportunity to present a final project to managers, peers, and other members of the organization at the program’s conclusion.

Beginning in January of 2024, fill out the form to join our Talent Community so we can engage with you for the summer session.

The biostatistics department in the analytics, technology, and data sciences organization provides statistical support across research and development. Clinical statisticians in the biostatistics group collaborate with stakeholders from different disciplines to develop agile and robust clinical development plans and decision frameworks for a portfolio of products encompassing early- and late-stage development.

Interns will be required to read and synthesize key methodology papers, efficiently develop simulation code in R or other statistical packages, and explore results in a systematic way. Any new code should be documented and packaged in a user-friendly way to encourage broader use in the department. A final technical write-up and presentation will be expected.

Example projects may include the following:

• Analyzing multiple endpoints problem using global testing procedures
• Impacts of data and treatment effect heterogeneity on the estimation of individualized treatment rules for patients in neuroscience
• Estimating novel treatment effect as time-delay in progression of Alzheimer’s disease

Requirements

• Experience performing statistical analysis with R, SAS, and other statistical packages
• Knowledge of or interest in working in the biotechnology industry
• Ability to translate data into business insights
• Legal authorization to work in the US
• 18 years of age prior to the scheduled start date
• Currently enrolled in a PhD program at an accredited college or university
• Completed two years of graduate work and passed doctorate qualification exam prior to the start of the internship
• Returning to school in the fall of 2024
• Majoring in statistics, biostatistics, or a related field

Apply: https://smrtr.io/gYtk5

Bristol Myers Squibb

New Jersey
Positions: Multiple
Students: MS/PhD in statistics or data sciences
Deadline: January 26, 2024

At Bristol Myers Squibb, we are inspired by a single vision—transforming patients’ lives through science. In oncology, hematology, cell therapy, immunology, cardiovascular disease, and neuroscience—one of the most diverse and promising pipelines in the industry—each of our passionate colleagues contributes to innovations that drive meaningful change. We bring a human touch to every treatment we pioneer. Join us and make a difference.

Requirements

• At least two years of course work and working on your thesis or dissertation toward a master’s or doctorate in statistics, biostatistics, or data sciences
• Effective oral and written communication skills and good working knowledge of SAS and/or R and/or Python
• Authorization to work in the US or corresponding region
• Unemployed at the time the internship starts

Apply
Biostatistics
Data Science
Statistical Programming (Grad)
Statistical Programming (Undergrad)

Contact: GBDS.Interns@BMS.com

Collaborative Undergraduate Biostatistics Experience

Roanoke/Charlottesville, Virginia
Positions: 10
Student: Undergraduate
Deadline: March 1, 2024

The Collaborative Undergraduate Biostatistics Experience (CUBE) is an eight-week training program (June 3 – July 26, 2024) designed to give motivated, underrepresented undergraduate students in STEM the opportunity to engage in a full-time collaborative data science experience, along with related professional development activities. CUBE is aimed at promoting diversity, equity, and inclusion in the STEM fields and was built on the following four pillars:

1. Training in introductory biostatistics
2. Training in R programming
3. Professional development
4. A collaborative research project addressing research questions in various disciplines

The goal is to offer students an experience working with a real-world data set under the mentorship of experienced collaborative data scientists and clinical experts so they can determine if they want to pursue a career in collaborative applied data science. The program includes weekly research and professional development seminars, periodic social events, and a final symposium, during which students present their research.

Students will be hosted at either Virginia Tech or the University of Virginia during the summer of 2024 and be compensated $4,800 for their participation. Housing and social outings will also be provided. Students will be responsible for food/meals and roundtrip travel to and from their assigned site.

Eligibility and Expectations

• We encourage applications from undergraduate students of underrepresented groups (e.g., women, visible minorities, Indigenous peoples, people identifying as LGBTQIA+, people with disabilities, or people from disadvantaged backgrounds) who are considering a career in data science or a similar field.
• Preference will be given to undergraduate students who are rising seniors enrolled in a STEM program who have a cumulative GPA of 3.0 or higher and have completed a course in introductory statistics or biostatistics. Well-prepared undergraduate students who are rising juniors will also be strongly considered.
• CUBE interns must commit at least 40 hours/week to the training program; therefore, interns are not permitted to enroll in summer classes, participate in MCAT prep courses, engage in activities for pay, or engage in other activities that may interfere with program activities.
• CUBE interns commit to participating in the full eight-week program. Students may not take vacation during this training period.
• Students who are not US citizens or permanent residents are ineligible to apply.

Apply: https://biostat.centers.vt.edu/CUBE/how_to_apply

Daiichi Sankyo

Basking Ridge, New Jersey (remote possible, but onsite recommended)
Positions: Multiple
Type of Student: PhD (preferred) or MS candidates in statistics or biostatistics
Deadline: February 15, 2024

We are looking for multiple full-time statistics summer interns to join our organization for approximately 12 weeks. You will work closely with senior-level biostatisticians on innovative statistical methodology and/or application topics related to the design and analysis of clinical trials. At the end of the internship, you will be expected to present your work within global statistical seminars. The ideal candidate will have a good knowledge of R and have completed at least two years of graduate-level courses.

There will be rolling interviews, so apply early.

Contact: Philip He

Apply: https://forms.office.com/r/0hDamGtySd

Eli Lilly and Company

Indianapolis, Indiana
Positions: Multiple
Type of Student: PhD
Deadline: January 15, 2024

Responsibilities

• Operate in collaboration with study personnel to provide input on study protocol, design studies, and write protocols for the conduct of each study
• Assist in or be accountable for selecting statistical methods for data analysis, authoring the corresponding sections of the protocol and statistical analysis plan, and conducting the actual analysis once a reporting database is created
• Collaborate with team members to write reports and communicate results
• Introduce and apply innovative methodology and tools to solve critical problems
• Merge scientific thinking and business knowledge to identify issues, evaluate options, and implement solutions
• Lead projects independently and work effectively across functions

Requirements

• Enrolled in a graduate-level curriculum leading to a PhD in statistics or biostatistics
• Completed at least three years of graduate work by May of 2024

Additional Skills/Preferences

• Proficient in statistical programming languages/software such as SAS, R, Spotfire, WinBUG, etc
• Interpersonal communication skills for effective customer consultation
• Teamwork and leadership skills
• Technical expertise and application with working knowledge of experimental design and statistical analysis
• Self-management skills with a focus on results for timely and accurate completion of competing deliverables
• Creativity and innovation
• Demonstrated problem-solving and critical thinking ability

The statistics, data, and analytics division of Eli Lilly and Company anticipates having several internship positions available for the summer of 2024. 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.

Contact: Jaymie Haley

Apply: Eli Lilly and Company website

Eli Lilly and Company

Indianapolis, Indiana
Positions: Multiple
Type of Student: Master’s
Deadline: January 15, 2024

The statistics, data, and analytics division of Eli Lilly and Company anticipates having several internship positions available for the summer of 2024. 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.

Responsibilities

• Operate in collaboration with study personnel to provide input on study protocol, design studies, and write protocols for the conduct of each study
• Assist in or be accountable for selecting statistical methods for data analysis, authoring the corresponding sections of the protocol and statistical analysis plan, and conducting the actual analysis once a reporting database is created
• Collaborate to plan and implement data quality assurance plans
• Maintain currency with respect to statistical methodology, maintain proficiency in applying new and varied methods, and show competence in justifying methods selected
• Participate in peer-reviewed work products from other statistical colleagues
• Influence team members regarding appropriate research methods
• Collaborate with team members to write reports and communicate results
• Assist with, or be responsible for, communicating study results via regulatory submissions, manuscripts, or oral presentations in group settings, as well as for communicating one-on-one with key customers and presenting at scientific meetings
• Respond to regulatory queries and interact with regulators
• Understand disease states, competitive landscapes, and regulatory environment to enhance the level of customer focus and collaboration and be seen as a strong scientific contributor
• Perform work in full compliance with assigned curriculum(s) and be responsible for following applicable corporate, medical, local, and departmental policies, procedures, processes, and training
• Introduce and apply innovative methodology and tools to solve critical problems
• Merge scientific thinking and business knowledge to identify issues, evaluate options, and implement solutions
• Lead projects independently and work effectively across functions
• Apply technical expertise to influence business decisions

Requirements

• Currently enrolled in and attending a graduate-level curriculum leading to a master’s degree in statistics or biostatistics
• Anticipated graduation by 2025

Additional Skills/Preferences

• Proficient in statistical programming languages/software such as SAS, R, Spotfire, and Python
• Interpersonal communication skills for effective customer consultation
• Teamwork and leadership skills
• Technical expertise and application with working knowledge of experimental design and statistical analysis
• Self-management skills with a focus on results for timely and accurate completion of competing deliverables
• Resource management skills
• Creativity and innovation
• Demonstrated problem-solving and critical thinking ability
• Business process expertise associated with critical activities (e.g., regulatory submissions)

Contact: Jaymie Haley

Apply: Eli Lilly and Company website

GEMS at Memorial Sloan Kettering

New York, New York
Positions: 6
Students: Currently enrolled graduate students
Deadline: January 16, 2024

Genomics Experience for Master’s Students (GEMS) is a 12-week (May 20 – August 9) paid program for master’s-level quantitative scientists that aims to create an immersive experience for the student to engage in real-world team science projects and learn to apply and translate their quantitative skills into meaningful scientific contributions in cancer medicine with a focus on cancer genomics and precision oncology. This full-time, on-campus research experience allows students to fully engage with mentors and a multidisciplinary research team on cutting-edge projects that propel them into genomics-oriented data science careers. Each fellow will have two mentors—one quantitative/computational mentor and one scientific mentor—who will provide a highly interdisciplinary and immersive training environment and prepare students for the interdisciplinary translational science workforce. Trainees must demonstrate a strong interest in learning cancer genomics but need not have experience in this area.

Contact: Richard Koppenaal

Apply: Memorial Sloan Kettering website

GSK

Collegeville, Pennsylvania; Remote
Positions: Multiple
Type of Student: PhD
Deadline: March 1, 2024

GSK is a global biopharma company focused on uniting science, technology, and talent to get ahead of disease together. We aim to positively affect the health of 2.5 billion people over the next 10 years.

Research statistics plays an important role in GSK’s discovery of new medicines, collaborating with laboratory scientists to advance exciting, innovative ideas in drug discovery. We design experiments, analyze data using a wide variety of statistical methods, and visualize results for projects that range from small studies with single endpoints to large studies with high-dimensional genomic data.

Interns will develop their statistical knowledge and skills through hands-on experience working with real data and collaborating with other statisticians and GSK scientists to address drug discovery questions in pre-clinical research. Potential statistical topics include experimental design, mixed models, machine learning algorithms, linear and nonlinear regression, Bayesian methods, missing data methods, and analysis of high-dimensional data.

We offer either an in-person internship at GSK’s Upper Providence, Pennsylvania, Pharmaceutical Research and Development Centre or a fully remote option. Internships will be full-time for 10–12 weeks (May/June to August, exact dates flexible).

We are seeking people with good technical and communication skills, proficiency in statistical programming languages such as R or SAS, and the ability to learn rapidly, develop practical solutions, and apply statistical techniques in creative ways.

Candidates must be enrolled students seeking their PhD in statistics, biostatistics, or a closely related field and must have completed two years of graduate study (i.e., coursework equivalent to an MA/MS in statistics).

Applications will be considered on a rolling basis until the position is filled.

Contact: Shannon McKearnan

Apply: http://bit.ly/475paDu

Johnson & Johnson

Spring House, Pennsylvania; Titusville, New Jersey; Raritan, New Jersey; La Jolla, California
Positions: 10
Type of Student: Graduate (PhD or Masters) or Undergraduate (Junior or Senior)
Deadline: February 15, 2024

Johnson & Johnson is recruiting for statistics and decision sciences summer interns.

Johnson & Johnson innovative medicine R&D discovers and develops innovative medical solutions to address important unmet medical needs in oncology, immunology, neuroscience, infectious diseases and vaccines, cardiovascular and metabolic disease, and pulmonary arterial hypertension.

For statistics and decision sciences, summer internships are available for students working toward a degree in statistics, biostatistics, or a related discipline. For the first time in 2024, we will consider undergraduate applicants as potential candidates.

Students will have the opportunity to work with practicing statisticians and 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 professional development of the student and 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 and, concurrently, pharmaceutical manufacturing, 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 participating in methodological development.

Qualifications

• Candidates must be enrolled in an accredited college (not necessarily taking classes) and pursuing a degree in biostatistics, statistics, data science, or a related discipline
• Students must be available for 10–12 weeks from May to August and have the ability to work full-time
• A minimum 3.0 GPA is preferred

Apply: Go to Statistics & Decision Sciences 2024 Summer Intern/Co-Op or go to careers.jnj.com and enter keywords such as “biostatistics intern” and “statistics decision sciences intern”

Kite, a Gilead Company

Remote; Santa Monica, California
Positions: 1
Students: PhD
Deadline: December 31, 2023

We are seeking highly motivated and passionate individuals to join our summer internship program. As an intern at Kite, you’ll have the unique opportunity to learn about cell therapy from some of the brightest minds in biotech while making a meaningful impact. We’re committed to developing early talent, and we welcome motivated individuals with a passion for transforming the way cancer is treated. The program also offers the opportunity for networking within Kite and Gilead, social events with fellow interns, and Kite leadership—as well as career development trainings—while providing competitive compensation and relocation assistance for eligible candidates.

The intern will support the clinical research development process in the clinical trial programming field using SAS or R. They will learn and apply CDISC standards for clinical trials within the standard Kite Pharmaceuticals setting as documented through company standard operating procedures, guidelines, and working instructions. The intern will support transforming specifications in the Statistical Analyses Plan into fully documented, validated programs by producing analysis data sets and summary tables, figures, and listings required for the Clinical Study Report. They will gain specific knowledge about the clinical data collected for the study.

Responsibilities

• Produce well-documented validated standard and nonstandard edit check and monitoring programs to ensure the integrity, accuracy, and completeness of the data in preparation for clinical reporting
• Review the programming specifications, Statistical Analyses Plan, and table shells for completeness, correctness, and adherence to department guidelines and standard operating procedures 
• Ensure all programming issues are resolved and updated in the Statistical Analyses Plan
• Ensure additional specifications once programming commences are properly documented
• Maintain programming team documents
• Transform specifications in the Statistical Analyses Plan into fully documented, validated programs required for the Clinical Study Report
• Identify assignment priorities, timeline goals, and communicate priority-related issues and timelines to the programming team
• Ensure the efficiency, quality, and integrity of data reporting and project activities implemented
• Carry out assignment, work efficiently, and produce quality results with limited supervision

Preferred Qualifications

• Currently enrolled in a graduate degree program with emphasis on fields related to bio/statistics, computer science (software programming language focused), or data science with exposure to clinical research and statistical programming in SAS or R
• Demonstrated proficiency in conducting statistical analyses using SAS or R
• Knowledge in database set-up, data processing, elementary statistics, and basic medicine terminology
• Proficiency with MS Office Suite
• Ability to identify issues and seek solutions
• Ability to work both independently and collaboratively in cross-functional teams in a fast-paced, dynamic team setting
• Efficient, organized, and able to handle short timelines
• Experience and/or interest in the biotechnology, pharmaceutical, or health-care industry
• Knowledge and understanding of good manufacturing practices and regulatory policies

Must be eligible to work in the United States without work authorization or sponsorship now or in the future.

Apply: Kite website

The Lubrizol Corporation

Wickliffe, Ohio
Positions: 4
Type of Student: MS/PhD
Deadline: February 10, 2024

The data science and statistics team operates like a start-up company, but with the backing of a large corporation. This empowered and agile team is charged with creating analytics systems that enable highly effective product development via virtual experimentation, optimization, and knowledge discovery. In addition, the team provides data science consulting services to the Lubrizol technical community throughout the world.

Potential projects (depending on intern skills and current Lubrizol needs) include the following:

• Create predictive models by mining complex data for critical formulating or testing insights
• Implement and assess algorithms in R, Python, SAS, JMP, or C#/C++
• Research and implement new statistical, machine learning, and/or optimization approaches (PhD level)
• Collaborate with data science team, scientists, and engineers to understand needs and find creative solutions to meet those needs

Lubrizol is an innovative specialty chemical company, owned by Berkshire Hathaway, with technologies that improve the performance of our customers’ products in the global transportation, industrial, and consumer markets.

Contact: Kevin Manouchehri

Apply: The Lubrizol Corporation website

The Lubrizol Corporation

Wickliffe, Ohio
Positions: 4
Type of Student: Bachelor’s
Deadline: February 10, 2024

The data science and statistics team operates like a start-up company, but with the backing of a large corporation. This empowered and agile team is charged with creating analytics systems that enable highly effective product development via virtual experimentation, optimization, and knowledge discovery. In addition, the team provides data science consulting services to the Lubrizol technical community throughout the world.

Potential projects (depending on intern skills and current Lubrizol needs) include the following:

• Create predictive models by mining complex data for critical formulating or testing insights
• Implement and assess algorithms in R, Python, SAS, JMP, or C#/C++
• Collaborate with data science team, scientists, and engineers to understand their needs and find creative solutions to meet those needs

Lubrizol is an innovative specialty chemical company, owned by Berkshire Hathaway, with technologies that improve the performance of our customers’ products in the global transportation, industrial, and consumer markets.

Contact: Kevin Manouchehri

Apply: The Lubrizol Corporation website

Novartis Pharmaceutical Corporation

East Hanover, New Jersey; Cambridge, Massachusetts; Fort Worth, Texas (with hybrid options)
Positions: Multiple
Type of Student: PhD candidates who will have completed at least 1.5 years of course work by June 2024
Deadline: January 21, 2024

Interns will work on quantitative projects (statistics, data science, or pharmacometrics) under the guidance of experienced quantitative scientists. Various real-world problems will give interns hands-on exposure to the early and late phases of drug development across different therapeutic areas. Interns will also attend seminars and other enrichment and learning activities to enhance their understanding of the drug development process. Interns will be able to present their project results to quantitative scientists and other key stakeholders.

At Novartis, we are reimagining medicine to improve and extend people’s lives. We have one of the most diverse product pipelines in the pharmaceutical industry, and performance-driven professionals are bringing innovative medicines to life.

The Novartis analytics department has multiple internship positions available for approximately 12 weeks in 2024 (May/June to August; exact dates TBD).

Candidates must be enrolled in a graduate-level program working toward a PhD in biostatistics, statistics, pharmacometrics, data science, computer science, or 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 R or SAS—as well as a strong background in NONMEM, Python, and/or other software/languages—is preferred.

View the impact the analytics team has on drug development.

Apply: Complete the application form and email your CV to internships.analytics@novartis.com

Contact: internships.analytics@novartis.com

Pfizer

La Jolla, California; Boulder, Colorado; Groton, Connecticut; Collegeville, Pennsylvania; Cambridge, Massachusetts; New York, New York; Andover, Massachusetts; Pearl River, New York
Positions: Multiple
Type of Student: Graduate students in statistics, biostatistics, or related fields
Deadline: February 1, 2024

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 a collaborative team in which each of the statistical, scientific, clinical, and clinical pharmacology disciplines bring their respective skills to bear in a collaborative manner to deliver the very best study designs and analyses.

The internship will consist of up to 480 hours of work, commencing as early as May and ending as late as September. The intern’s project will be biomedically oriented, with one-on-one supervision by one or multiple senior staff statisticians. The work will be a hands-on learning experience focusing on current project needs and will likely involve the use of SAS, R, or other statistical software. The intern will prepare a written report and brief presentation summarizing the work and forming a permanent record of the intern’s efforts.

Applicants must have completed at least one year of graduate study by May 2024 and have work authorization in the US.

Pfizer is an equal opportunity employer and will consider all qualified applicants with a commitment to diversity.

Apply: Submit your application. If you do not have a Handshake account, you will be prompted to create one.

QSURE at Memorial Sloan Kettering

New York, New York
Positions: 10
Type of Students: Undergraduate
Deadline: January 22, 2024

The QSURE summer internship program is designed for motivated undergraduate students with a passion for quantitative science. Each student will be paired with an expert mentor to work on an individual, data-driven research project that aims to answer pressing questions in cancer. The program will provide hands-on skills in biostatistics, epidemiology, health outcomes, and/or computational oncology. The QSURE program is supported by the National Cancer Institute (R25 CA214255) and MSK Society.

QSURE 2024 will run from June 3 – August 9. QSURE will provide a stipend of $5,625 for the 10-week internship, as well as a reimbursement of up to $4,750 for housing. Applicants must be authorized to work in the US.

Contact: Richard Koppenaal

Website: mskcc.org/qsure

Sanofi US

Bridgewater, New Jersey; Cambridge, Massachusetts
Positions: Multiple
Type of Student: PhD candidate in statistics or biostatistics
Deadline: April 2, 2024

Successful candidates will work on design and analysis of early- and late-phase clinical trials and statistical methodology research under the supervision of senior-level statisticians.

Candidates must have completed at least two years of graduate coursework and be working on a dissertation toward a PhD in statistics or biostatistics. Requirements include effective oral and written communication skills and knowledge of SAS and R. Python is a plus.

Contact and Apply: Email CV and (un)official graduate transcript to Xiaodong Luo

St. Jude Children’s Research Hospital

Memphis, Tennesee
Positions: Multiple
Type of Student: Undergraduate and graduate
Deadline: January 12, 2024

As this is an experiential and immersive program, you will develop and hone your practical skills in a broad range of areas, including the following:

• Processing, analysis, and presentation of data
• Design of data collection instruments and data management systems
• Statistical techniques
• Reporting and interpretation of results and explanations
• Software, statistical methodologies, and statistical writing through real-world applications

Additionally, you will take part in activities such as hospital tours, networking, and relationship building with professionals across the institution. You will have access to a dedicated mentor to continue developing new skills.

Interested candidates must be enrolled in an accredited college undergraduate or graduate program. If undergraduate, candidates must be entering their junior or senior year.

Candidates are accepted from all majors, though an interest in math, statistics, data science, or computer science is preferred. 3.0 GPA or above. GPA will be validated by transcripts and communication with the adviser.

Apply: Submit a cover letter and CV/résumé to BiostatIntern@STJUDE.ORG

Website: www.stjude.org/education-training/predoctoral-training/internships/biostatistics-internship.html

StataCorp

College Station, Texas
Positions: 1–3
Type of Student: Graduate
Deadline: March 1, 2024

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.

Statistical software development is a challenging and rewarding career, ideal for those with a graduate education in statistics or related field and a keen interest in using their problem-solving skills to produce commercial software for use by all 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 Stata Journal, creating support materials, and assisting in adding new statistical features to Stata, along with testing and documenting those features

Apply: www.stata.com/internships

Takeda Pharmaceuticals

Cambridge, Massachusetts; Remote
Positions: Multiple
Type of Student: PhD or master’s candidates in biostatistics, statistics, or related disciplines
Deadline: March 15, 2024

Takeda is a research-based global pharmaceutical company and leader in the pharmaceutical industry. Takeda research and development uses science and innovation to improve people’s lives in therapeutic areas such as oncology, rare diseases, neuroscience, and gastroenterology, with targeted investments in plasma-derived therapies and vaccines.

During the 12-week summer internship program in the statistical and quantitative science department, interns will work closely with experienced industry statisticians/data scientists/programmers on a variety of topics related to the design and analysis of clinical trials, preclinical research, and/or programming-related projects. Topics could include Bayesian methods, innovative trial designs, RWD/RWE, artificial intelligence/machine learning, and data science.

At the end of the internship program, interns will give a presentation summarizing their work and may have the opportunity to summarize their work in a peer-reviewed publication.

Candidates must be enrolled in a PhD/MS biostatistics, statistics, or related program. For PhD-level projects, PhD candidates must have passed qualification exams, and three or more years of graduate study or post-baccalaureate training is preferred.

Apply: Email your résumé and cover letter to biostatistics.intern@takeda.com

Contact: biostatistics.intern@takeda.com

Thomas Jefferson University Division of Biostatistics and Bioinformatics

Philadelphia, Pennsylvania
Positions: 3
Type of Student: Undergraduate (junior or senior preferred), master’s
Deadline: February 16, 2024

Jefferson’s Division of Biostatistics and Bioinformatics will sponsor up to three summer interns, who will do the following:

• Research statistical topics relevant to biomedical research
• Apply statistical thinking to biomedical research problems
• Analyze real-world biomedical data and interpret the results
• Develop statistical programming skills in SAS, R, and other languages
• Develop and practice communication of statistical methods and results through written reports and oral presentations
• Receive guidance and mentoring regarding their future studies and career trajectory
• Bioinformatics students will work on cutting-edge areas of bioinformatics, including single-cell omics data analysis, systems biology approaches, and machine learning

The internship will run for 8–10 weeks from June to August. Interns will be paid a stipend, which will be dependent on academic level, experience, and work schedule.

Applicants may be current students or recent graduates and should have an interest in pursuing a career in (bio)statistics, bioinformatics/computational biology, data science, or similar quantitative fields with a focus on the biomedical sciences.

For undergraduate students (or those with an undergraduate degree), any degree program is acceptable, but applicants should have strong mathematical and analytical skills and at least one course in computer/statistical programming.

For graduate students (or those holding a graduate degree), their degree should be in biostatistics, statistics, bioinformatics/computational biology, computer science, or a similar quantitative field.

Contact: Tingting Zhan

Apply: https://jeffline.jefferson.edu/education/programs/biostatistics_si

University of Pennsylvania

Philadelphia, Pennsylvania
Positions: Multiple
Type of Student: Undergraduate
Deadline: February 1, 2024

The Summer Undergraduate Internship Program and Summer Undergraduate Minority Research Program at the University of Pennsylvania are accepting applications for undergraduate students to participate in summer research. Students seeking to complete a summer fellowship in biostatistics may indicate their interest in biostatistics in their application(s).

Summer Undergraduate Internship Program
The Summer Undergraduate Internship Program is designed to provide an intense research experience for students interested in graduate study in the biomedical sciences, including biostatistics. Each intern is matched with a faculty mentor from the biomedical graduate studies program according to the information submitted during the application process. Interns participate in the investigator’s ongoing research and perform a specific, supervised research project related to the goals of the research group. Interns also attend research seminars and have the opportunity to meet with directors of biomedical graduate studies PhD programs and current students.

This 10-week program runs from early June to mid-August. A complete application includes an online application form, a statement of career goals and area of interest, two letters of recommendation, and an official transcript. All materials must be received by February 1.

Summer Undergraduate Minority Research Program
The Summer Undergraduate Minority Research Program is an initiative by the Leonard Davis Institute of Health Economics and health care management department of the Wharton School to provide underrepresented minority undergraduate students, or interested others, an opportunity to explore the field of health services research. The program is open to rising undergraduate sophomores, juniors, or seniors interested in exploring the health services research field. Program participants should have an interest in health care and strong quantitative skills. They do not have to make a commitment in advance to attend graduate school to be accepted into the program, but an academic or research career should be something they are considering.

Scholars work with a Penn faculty member on a health services project, gain practical advice about graduate school opportunities—including GRE preparation—and attend a health services–related research conference.

The 2024 program will run for 12 weeks, from the end of May to mid-August. The application deadline is February 1.

Contact: Eli Elliott

Apply: www.med.upenn.edu/idealresearch/suip

University of Texas Medical Branch Summer Institute in Biostatistics and Data Science

Galveston, Texas
Positions: 20
Type of Students: Undergraduate student majoring in mathematics, statistics, biology, or other science
Deadline: April 15, 2024

The Summer Institute in Biostatistics and Data Science is an intensive seven-week program (June 8 – July 27, 2024) designed to expose undergraduate students to the exciting opportunities offered by a career in biostatistics/data science and encourage them to pursue graduate study in those fields. This program is designed to expose undergraduates to the use of quantitative methods for biological, environmental, and medical research.

Students will earn college credit for a course in biostatistics, learn statistical software packages, attend seminars on biostatistical topics and research, participate in professional development workshops, and take part in a collaborative research project with other students mentored by faculty members both in basic science/clinical research and biostatistics. At the annual symposium, students will prepare and deliver a polished poster presentation that reports on their research.

Applicants must be a US citizen or permanent resident. Preference will be given to members of an under-represented group in graduate education (Black, Hispanic/Latino, American Indian/Alaskan Native, Pacific Islander, or multiracial/biracial), a first-generation college student (neither parent nor legal guardian has a bachelor’s degree), a low-income student as defined by the US Department of Education, or a disabled student according to the definition of the Americans with Disabilities Act of 1990 and Section 504 of the Rehabilitation Act of 1973.

Travel to Galveston and a living stipend (including lodging and meals) are provided.

Contact: Heidi Spratt

Website: www.utmb.edu/spph/department/of-biostatistics-data-science/sibds/home

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

Silver Spring, Maryland
Positions: Multiple
Type of Student: Graduate students with strong background coursework in biostatistics or statistics; completion of doctoral prequalifying exams preferred
Deadline: April 15, 2024

The Office of Biostatistics in the Office of Translational Sciences Center for Drug Evaluation and Research at the US 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 lifecycle. 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 starting in May 2024 and ending no later than September 27, 2024, to engage in research projects on topics relevant to Office of Biostatistics scientific needs.

Interns will gain hands-on experience with regulatory research projects under the guidance of an expert Office of Biostatistics mentor, using real or simulated data to address statistical 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, estimands, meta-analyses, benefit-risk analyses, subgroup analyses, biosimilars, patient experience data, bioequivalence, quality control, cardiac safety, and data mining. Interns have been involved in the development of statistical methods, software tools, and new drug application databases for the analysis of pre-clinical and pre- and post-market clinical data.

The Oak Ridge Institute for Science and Education experience is intended as a mentored training program in which the participant gains insight from interaction with a Center for Drug Evaluation and Research employee (mentor). Interns are expected to participate in their internship 40 hours per week, with the location determined by their mentor. Interns will prepare a written report and a 30-minute presentation summarizing their work.

Successful candidates must be legally eligible to work in the US. 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.

Our program is administered by, and stipends are issued through, the Oak Ridge Institute for Science and Education via its contract to operate with the US Department of Energy. US citizenship is not required. Due to requirements for issuance of an official FDA identification card, individuals selected for participation must be able to successfully pass a tier 1 background investigation for the federal government. To do so, participants must have maintained residence in the United States for a minimum of 36 of the past 60 months as of the date of their application. Travel to designated FDA sites may be required as part of a student’s background investigation. 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.

Requirements

• Solid statistical background in coursework and practical training
• Demonstrated creativity and innovation, along with strong problem-solving skills
• Strong computational skills, including experience with SAS and/or R and demonstrated proficiency with MS Office
• Excellent oral and written communication skills
• Ability to work independently and contribute to group and staff discussions

Contact: CDER-OTS-OB-Recruitment@fda.hhs.gov with QUESTION ORISE 2024 in the subject line

Apply: www.zintellect.com/Opportunity/Details/FDA-CDER-2024-0000

Washington University in St. Louis Institute for Informatics, Data Science, & Biostatistics

St. Louis, Missouri
Positions: 10
Type of Student: Undergraduates interested in informatics, biostatistics, or data science
Deadline: January 15, 2024

Under the guidance of faculty mentors and research scientists, this paid internship allows undergraduate students from diverse academic backgrounds to gain exposure to the informatics and data science fields through research translation and practice. Students selected for the 11-week internship work full-time with faculty mentors partaking in active research, with projects relating to our three newly established centers of population health informatics, applied clinical informatics, and translational bioinformatics.

Students will also complete professional development workshops, attend seminars relating to informatics and data science research, and participate in the annual symposium, where they will present a scientific poster.

The program begins in late May and ends in early August. In addition to financial support, the program provides university housing and travel to and from the St. Louis area, if needed. Applicants must be eligible to work in the US and enrolled as a full-time student at a US institution with an expected graduation date of December 2024 or later.

Visit the website for additional program details, including the link to apply.

Contact: Katie Bay

Weill Cornell Medicine, Cornell University

New York, New York
Positions: 2–4
Type of Student: MS, PhD
Deadline: February 1, 2024

The Mallick Lab at Weill Cornell Medicine and Cornell University will have multiple full-time summer biostatistics internship openings lasting approximately 10–12 weeks (May/June to August/September; dates flexible). As a biostatistics intern, you will work closely with the PI and other Mallick Lab members on multi-omics integration and omics data science.

Potential areas include spatial transcriptomics, deep learning, causal inference, explainable AI, digital pathology, scalable Bayes, and machine learning.

Potential activities may include conducting large-scale simulations, participating in methodological development, exploratory data analysis, graphical exploration of data, report writing, and writing computer programs or software applications associated with the statistical analyses. It is not uncommon for an intern to summarize their work in a peer-reviewed publication.

At the end of the internship, you will be expected to present your work within the division of biostatistics at Weill Cornell Medicine. Candidates must have a good knowledge of R and/or Python, along with excellent communication skills.

Contact: Himel Mallick

Apply: Send a CV and a personal statement of interest to him4004@med.cornell.edu