The following companies are looking for interns in 2026. If you are interested in having new experiences, improving your programming skills, or learning from senior-level statisticians, apply for one of these opportunities.
To include an internship opportunity on our website, organizations can complete our form. Interested students will send a letter or inquiry and résumé directly to the contact and location listed.
Astellas Pharma
Northbrook, Illinois; Remote
Positions: 3
Type of Student: PhD candidate in statistics or a related discipline
Deadline: January 31, 2026
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 have completed at least two years of graduate-level coursework and be working 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. In addition, applicants should have good programming and communication skills.
Contact: Send a CV, personal statement of interest, and letter of recommendation to Biostat.Intern@Astellas.com.
AstraZeneca
Gaithersburg, MD Waltham, MA
Positions: 8–10
Type of Student: Graduate (PhD Preferred)
Deadline: January 2, 2026
AstraZeneca will have multiple full-time summer statistics internships lasting approximately 10–12 weeks (May/June to August/September). As a statistics intern, you will work closely with an experienced statistician on one statistical topic from clinical trials, as well as have the opportunity to contribute to daily tasks of active clinical trials. Topics involve statistical work in early- and late-phase drug development with applications to oncology, cardiovascular, and respiratory areas. Interns will also work to develop a project based in literature that is practical and valuable to AstraZeneca. Last year’s projects include dose optimization for basket trials, early-phase biomarker discovery, estimands and poor imputation, sufficiency of evidence using single vs. twin trial framework, etc.
Candidates must have a good working knowledge of R and/or SAS. PhD preferred. Time-and self-management skills are valuable.
The AstraZeneca intern program will be in person and is only for US college/university students who do not require sponsorship. Interns must be 18 years or older. May 2026 graduates are not eligible.
Contact: Sydney Grenier, sydney.grenier@astrazeneca.com
Biogen
Remote
Positions: Multiple
Type of Student: Graduate school pursuing PhD in statistics, biostatistics, or similar
Deadline: February 27, 2026
This application is for a 12-week internship role from June–August 2026. Résumé review begins in January 2026.
The biostatistics department provides statistical support across research and development. The 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. They also provide statistical expertise and manage the activities for clinical programs to ensure valid and efficient study designs.
Summer interns will be required to read and synthesize key methodology papers, efficiently develop simulation code in R or another statistical package, and explore results in a systematic way.
Website: https://biibhr.wd3.myworkdayjobs.com/external/page/b58156dc8740100169474ae0e8480000
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, 2026
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/Python and have completed at least two years of graduate-level courses.
There will be rolling interviews, so apply early.
Website: https://forms.office.com/r/aZ3M4Bj61z
Contact: Haiming Zhou, haiming.zhou@daiichisankyo.com
Eli Lilly and Company
Indianapolis, Indiana
Positions: Multiple
Type of Student: Master’s degree in statistics/biostatistics or MSPH with a concentration in statistics/biostatistics
Deadline: January 4, 2026
As a computational statistician intern, you will have the opportunity to partner with experts in statistics, data sciences, medical, regulatory, and clinical to lead a project that addresses research or business needs. With your statistics and statistical programming knowledge, you will understand the patient and business needs to deliver with high quality. Within Lilly’s culture that values analytics and data-driven decisions, you will be part of a team that makes important contributions to patients’ lives. You will have the opportunity to learn about the pharmaceutical industry and how statistics and analytics play a role at Eli Lilly and Company.
Responsibilities
The job tasks listed below outline the scope of the position. The application of these tasks may vary based on current business needs.
- Use statistics and programming skills on a project that will have an impact in the statistics, data, and analytics organization.
- Lead the project by understanding the background and impact.
- Collaborate with stakeholders in the project.
- Present to the organization on the technical aspects and the impact of the project.
- Introduce and apply innovative thinking to the project.
Lilly internships last for 12 continuous weeks beginning in May or June. Each intern will be assigned a project affording the opportunity to actively contribute to the organization and build a comprehensive understanding of the pharmaceutical industry. Professional development and social events will be held throughout the summer. At the conclusion, each intern will present their project highlights, findings, recommendations, and general internship accomplishments to senior leaders and stakeholders.
Desired Experience
- Proficient in statistical programming languages/software such as SAS, R, Spotfire, and WinBUG
- 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 ability and critical thinking
- Business process expertise associated with critical activities (e.g., regulatory submissions)
Benefits
- All interns will be considered for full-time positions based on their internship performance and the business need.
- Lilly arranges various intern activities—including sporting events, dinners, and lunch and learns—to provide opportunities for socializing, professional development, and learning about Lilly.
- Interns will receive a competitive salary and free parking at their work site, as well as access to Lilly’s LIFE fitness center and bike garage.
Website: https://lilly.wd5.myworkdayjobs.com/CMP/job/US-Indianapolis-IN/MS-Statistics-Intern_R-91998
Eli Lilly and Company
Indianapolis, Indiana
Positions: Multiple
Type of Student: PhD in statistics or biostatistics
Deadline: January 4, 2026
The global statistical sciences division of Eli Lilly and Company anticipates having several internship positions available for the summer of 2026. The internships start in either May or June and last 12 weeks.
As an intern, you will have an opportunity to gain technical expertise and contribute to cutting-edge research. You will understand the patient and business needs and then design, execute, and analyze clinical and other studies. Your creativity and leadership are essential elements of bringing better solutions to our drug discovery and development. Within Lilly’s culture that values analytics and data-driven decisions, you will be part of a team that makes important contributions to our patients’ lives.
Responsibilities
The tasks listed below outline the scope of the position. The application of these tasks may vary based on current business needs.
- Partner with experts in statistics, basic science, and medical to optimize drug discovery and development processes.
- Introduce and apply innovative methodology and tools to solve critical problems.
- Be accurate and creative in communicating results.
- Be up to date on novel and state-of-the-art data and analytics technologies and approaches.
- Challenge yourself and others to be a life-long learner and always look for better ways to deliver.
Requirement
Currently enrolled in a PhD program in statistics or biostatistics and have completed the third year of a PhD program by May 2026
Desired Experience
- Proficient in statistical programming languages/software such as SAS, R, and Python
- Interpersonal communication skills for effective customer consultation
- Technical expertise and application with working knowledge of experimental design and statistical analysis
- Creativity and innovation
- Demonstrated problem-solving ability and strategic thinking
Benefits
- All interns will be considered for full-time positions based on their internship performance and the business need.
- Lilly arranges various intern activities—including sporting events, dinners, and lunch and learns—to provide opportunities for socializing, professional development, and learning more about Lilly.
- Interns will receive a competitive salary and free parking at their work site, as well as access to Lilly’s LIFE fitness center and bike garage.
- If the intern’s job position requires a move from another location, Lilly will provide travel arrangements and subsidized housing.
Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require an accommodation to submit a résumé for a position at Lilly, please complete the accommodation request form.
Website: https://lilly.wd5.myworkdayjobs.com/CMP/job/US-Indianapolis-IN/PhD-Statistics-Intern_R-91950
Johnson & Johnson
Spring House, Pennsylvania; Titusville, New Jersey; Raritan, New Jersey; La Jolla, California
Positions: 8
Type of Student: PhD, master’s, bachelor’s
Deadline: February 16, 2026
Johnson & Johnson innovative medicine is recruiting for summer interns in its statistics and decision sciences organization.
Johnson & Johnson innovative medicine R&D discovers and develops innovative medical solutions to address important unmet medical needs in oncology, immunology, neuroscience, 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.
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 statistical evaluations. 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 within May to August and have the ability to work full time.
- A minimum 3.0 GPA is preferred.
Website: www.careers.jnj.com/en/student-opportunities/internships
Memorial Sloan Kettering Cancer Center
New York, New York
Positions:10
Type of Student: Undergraduate
Deadline: January 19, 2026
The QSURE 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 interns will receive training in scientific and career development skills, including the following:
- Hands-on research experience carried out under the guidance of a faculty mentor
- Quantitative skills and familiarity with methods used in cancer and population health research
- Exposure to a wide application of data through internal and external speakers
- Education in the responsible conduct of research
- Training in oral and written scientific presentation
- Resources for career development
- Understanding of options for graduate study and careers
- A supportive cohort of like-minded peers
Applications for QSURE 2026 will close on January 19. Applications submitted by January 4 will be reviewed first. Applications submitted after that date will be reviewed starting January 19. Note: Applications are considered complete and will only be reviewed when we receive all accompanying letters.
QSURE 2026 will run from June 1 to August 7 and provide a stipend of $6,375 for the 10-week internship. Housing is available for accepted students.
Applicants must be authorized to work in the US.
Memorial Sloan Kettering Cancer Center
New York, New York
Positions: 6
Type of Student: Masters/PhD
Deadline: January 19, 2026
Genomics Experience for Master’s Students (GEMS) is a 12-week 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 with the goal of propelling them into genomics-oriented data science careers. Each fellow will have two mentors—one quantitative/computational mentor and one scientific mentor—to provide a highly interdisciplinary and immersive training environment and prepare students for the interdisciplinary translational science workforce.
Fellows must demonstrate a strong interest in learning cancer genomics and need not have experience in this area.
The GEMS program is supported by the National Cancer Institute (R25-CA272282) and MSK Society.
Through this immersive 12-week experience, fellows will gain the following:
- Perspective on modern frontiers in cancer genomics research
- Exposure to modern foundational concepts and methods taught through the seminar series
- Knowledge of foundational concepts and methodology including the following:
- how to process and manipulate large multi-dimensional data
- methods for data normalization and dimension reduction
- detection and correction for batch effects
- software and tools for data visualization
- basic strategies for integrative analysis of multidimensional and multimodal data
- Education in the responsible conduct of research
- Training in effective scientific communication
- Experience in critical thinking, problemsolving, and teamwork through the dual-mentorship model embedded in a multidisciplinary scientific team
Accepted fellows will be paid a modest stipend. Housing is not provided, but GEMS will provide a nominal payment for housing expenses. A portion of fellow travel to and from New York City is eligible for reimbursement.
Applications close on January 23. The summer 2026 program will run from May 18 to August 9.
Eligible applicants must be the following:
- Currently matriculated in a master-level program (biostatistics, statistics, or related field)
- Trained in statistical theory, methods and programming, and related fields
Application Requirements
- Résumé
- Statement of interest (~500 words)
- Three letters of recommendation
Website: www.mskcc.org/departments/epidemiology-biostatistics/educational-opportunities/gems
Neurocrine Biosciences
San Diego, California
Positions: 2
Type of Student: PhD
Deadline: March 31, 2026
Be part of a dynamic statistics team at Neurocrine Biosciences, working at the intersection of clinical development and advanced quantitative methods. During this internship, you will do the following:
- Analyze clinical trial data and real-world evidence, helping to drive decisions in drug development
- Explore and evaluate statistical methodological topics
- Build analytical workflows for simulation, model fitting, data visualization, and reporting
- Present your work at the end of the internship
Contact: Xiaopeng Miao, xmiao@neurocrine.com
Novartis Pharmaceutical Corporation
East Hanover, New Jersey; Cambridge, Massachusetts
Positions: Multiple
Type of Student: PhD candidates who will have completed at least 1.5 years of course work by June 2026
Deadline: January 25, 2026
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 2026 (May/June to August; exact dates TBD).
Interns will work on quantitative projects (statistics, data science/machine learning, 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 also be able to present their project results to quantitative scientists and other key stakeholders.
Candidates must be enrolled in a graduate-level program working toward a PhD in biostatistics, statistics, pharmacometrics, data science, computer science, or a related discipline and have completed at least 1.5 years of course work. Competitive candidates will 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.
To apply: Complete the application form at https://forms.office.com/e/cjBRuVye9V and email your CV to internships.analytics@novartis.com.
Website: View the impact the analytics team has on drug development at Novartis.
Contact: internships.analytics@novartis.com
Pfizer
La Jolla, California; San Francisco, California; Boulder, Colorado; Groton, Connecticut; Collegeville, Pennsylvania; Cambridge, Massachusetts; New York, New York; Andover, Massachusetts; Pearl River, New York; Bothell, Washington
Positions: Multiple
Type of Student: Graduate students in statistics, biostatistics, or related fields
Deadline: January 30, 2026
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 brings their respective skills to bear in a collaborative manner to deliver the very best study designs and analyses.
The internship will consist of 12 weeks of full-time work at one of the Pfizer sites 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 likely involve the 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.
Please note that there are also internship opportunities within the AI/ML track at Pfizer that statistics students are welcome to apply to.
Applicants must have completed at least one year of graduate study by June 2026 and must be legally allowed to work during the summer in the US.
Pfizer is an equal opportunity employer and will consider all qualified applicants with a commitment to diversity.
Apply: Submit your application via the online portal at https://pfizerstatistics-internprogram-atriumworks.icims.com/jobs/intro?hashed=-625974406.
Regeneron Pharmaceuticals
Tarrytown, New York
Positions: 15
Type of Student: Undergraduate, Graduate, PhD
Deadline: December 22, 2025
If you’re a student pursuing a undergraduate or graduate degree in statistics, data/computer science, mathematics, life sciences, or a related field, you may be a fit for an internship in our biostatistics, data management and statistical programming organizations. Please apply to one internship of interest that best matches your major.
In this role, a typical summer might include the following:
- Achieving a general understanding of what happens in our global organization
- Completing hands-on project work that has an impact on the business
- Engaging with Regeneron leadership
- Collaborating with a specific hiring manager and other interns
- Establishing connections with Regeneron’s diverse set of employee resource groups
- Participating in professional development sessions while enjoying lots of free food and swag
- Showcasing the knowledge you gained through end-of-program presentation sessions
- Getting paid for your hard work
This role might be for you if:
- You want to make a difference
- You advocate for your ideas—and what they can do in the world
- You’re excited to think, challenge, listen, re-think, and solve
- You continuously look for ways to improve
- You are science-minded, ask questions, and challenge conventional wisdom
- You work with precision, passion, thoughtfulness, and integrity
- You’re ready to work with the team that can bring a great idea to life
- You know this is no ordinary job
To be considered for this opportunity, you must be enrolled in, or accepted to, an academic program pursuing an undergraduate or graduate degree and be returning to school the semester following the internship. A cumulative GPA of 3.0 is preferred. We want someone who is able to commit to 40 hours per week for a minimum of 10 weeks from the end of May/early June through August. Demonstrated leadership in areas such as campus activities, clubs, sports, current or previous work, or within the community is also preferred.
Does this sound like you? Apply now to take your first step toward living the Regeneron way! We have an inclusive and diverse culture that provides comprehensive benefits, which often include (depending on location) health and wellness programs, fitness centers, equity awards, annual bonuses, and paid time off for eligible employees at all levels.
Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, nationality, national or ethnic origin, civil status, age, citizenship status, membership of the traveler community, sexual orientation, disability, genetic information, familial status, marital or registered civil partnership status, pregnancy or parental status, gender identity, gender reassignment, military or veteran status, or any other protected characteristic in accordance with applicable laws and regulations. The company will also provide reasonable accommodation to the known disabilities or chronic illnesses of an otherwise qualified applicant for employment, unless the accommodation would impose undue hardship on the operation of the company’s business.
Contact: Chenguang Wang, chenguang.wang@regeneron.com
Sanofi
Morristown, New Jersey; Cambridge, Massachusetts
Positions: 4
Type of Student: PhD
Deadline: January 31, 2026
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.
Candidates must be able to relocate to the office location and work 40hrs/week, Monday-Friday, for the full duration of the internship in summer 2026.
Candidates must be permanently authorized to work in the U.S. and not require sponsorship of an employment visa (e.g., H-1B or green card) at the time of application or in the future. Students currently on CPT, OPT, or STEM OPT usually require future sponsorship for long term employment and do not meet the requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship
The positions are posted in separate links. Please use each link to view the details and submit your application.
(2) Biostatistics/Summer/New Jersey
(3) Biostatistics/Morristown, New Jersey
(4) Statistical Methodology/Summer/Massachusetts
St. Jude Children’s Research Hospital
Memphis, Tennessee
Positions: Multiple
Type of Student: Graduate
Deadline: January 9, 2026
Selected students will typically contribute to at least one of the following during their project: (1) real-world data analysis; (2) software development; and/or (3) methodology development. The exact opportunity will be developed by each faculty mentor and their respective mentee.
As an experiential and immersive program, you will develop and hone your practical skills in a broad range of areas that could include the following:
- Development of software for real-world applications
- Use of simulations for statistics and data science research
- Management, analysis, and presentation of real-world data
- Design of data collection instruments and data management systems
- Interpreting and communicating results to statistical and nonstatistical audiences
Additionally, you may take part in a variety of activities such as hospital tours, networking opportunities, and building relationships with a variety of 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/university graduate program. Students pursuing an undergraduate degree are not eligible for this year’s program.
Candidates are accepted from all majors; 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.
Website: www.stjude.org/education-training/predoctoral-training/internships/biostatistics-internship.html
Contact: Please send questions to BiostatIntern@STJUDE.ORG and follow procedures on the website for the application process.
StataCorp
College Station, Texas
Positions: 1–3
Type of Student: Graduate
Deadline: January 30, 2026
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.
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.
Website: www.stata.com/internships
Takeda Pharmaceuticals
Cambridge, Massachusetts; Virtual; Hybrid
Positions: Multiple
Type of Student: PhD or master’s candidates in biostatistics, statistics, or related disciplines
Deadline: February 28, 2026
Takeda is a research-based global pharmaceutical company and one of the global leaders 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 at statistical and quantitative science department, interns will work closely with experienced industry statisticians/data scientists/programmers on a variety of topics related to design and analysis of clinical trials, preclinical research, and/or programming-related projects. Topics include but are not limited to 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.
The Lubrizol Corporation
Wickliffe, Ohio
Positions: 4
Type of Student: MS/PhD
Deadline: January 31, 2026
Join our thriving team at Lubrizol as a data scientist/statistician intern (MS/PhD). Unleash your potential. At Lubrizol, we’re transforming the chemical industry and looking for exceptional talent to join us on this journey. If you are ready to join an international company with talent around the world and want to make a real impact, we want you on our team.
What You’ll Do
The empowered and agile data science and statistics team is charged with creating analytics systems that enable highly effective product development via virtual experimentation, optimization, and knowledge discovery. In addition, the team delivers data science solutions for computer vision automation, operations, and supply chain and offers data science consulting services to the Lubrizol technical community throughout the world. You’ll collaborate with a diverse group of passionate individuals to deliver sustainable solutions to advance mobility, improve well-being, and enhance modern life.
What We’re Looking For
Potential projects (depending on intern skills and current Lubrizol needs):
- Create predictive models by mining complex data for critical formulating or testing insights
- Implement and assess algorithms in R and Python (SAS, JMP, or C#/C++ optional)
- Collaborate with the data science team, as well as scientists and chemical engineers, to understand their needs and find creative solutions to meet those needs
- Deploy algorithms and create predictive models by mining complex visual data
- Research, develop, and operationalize new statistical, machine learning, and/or optimization methods (PhD level)
Previous intern projects included the following:
- Predictive modeling using Bayesian and machine learning methods
- R/Shiny tool development to enable model predictions and formulation optimization
- Creation of an interactive visualization tool for monitoring predictive models
- Development of a bootstrap procedure for a hypothesis test
- Multitask learning (transfer learning) using co-regionalized Gaussian Processes (PhD level)
- Multivariate variable selection approach using variational Bayes (PhD level)
- Multi-objective optimization using genetic algorithms (PhD level)
- Survival modeling using bagged Cox proportional hazards regression trees (PhD level)
- Bootstrap variance estimation for complex nonlinear models (PhD level)
Skills That Make a Difference
- Enrolled in a master’s or PhD program such as statistics, data science, machine learning, or chemical engineering
- Dual degree students (e.g., statistics/data science and chemistry, chemical engineering, computational chemistry, etc.) are encouraged to apply
- Significant coursework in predictive modeling, Bayesian approaches, and optimization; deep learning; forecasting; multivariate data analysis; and/or generative AI
- Able to efficiently manipulate, process, and analyze data of various modalities, including numerical, image, text, and beyond
- Advanced programming skills and exposure to data query languages
- Interest and experience in advanced statistical and machine learning methodology (PhD level)
- Curiosity, creativity, initiative, and autonomy
Perks and Rewards That Inspire
- Preferred location of Wickliffe, Ohio, or Deer Park, Texas; housing and relocation assistance available for eligible students
- Competitive hourly wage
- Paid holidays within your work period
Website: https://jobs.lubrizol.com/job-invite/99970
Thomas Jefferson University Division of Biostatistics and Bioinformatics
Philadelphia, Pennsylvania
Positions: 3
Type of Student: undergraduate, master’s
Deadline: February 28, 2026
Biostatistics interns will review statistical topics relevant to biomedical research; analyze real-world biomedical data and interpret the statistical results using SAS, R, and other languages; and communicate their work through written reports and oral presentations.
Bioinformatics interns will work on cutting-edge areas of bioinformatics, including single-cell omics data analysis, machine learning, and systems biology approaches.
Intern students will receive guidance and mentoring regarding their future studies and career trajectory.
Applicants may be current students or recent graduates with strong interest in pursuing a career in biostatistics, bioinformatics/computational biology, data science, or other similar quantitative field with a focus on the biomedical sciences.
For undergraduate students (or those with an undergraduate degree), all degree programs are acceptable. 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 (bio)statistics, bioinformatics/computational biology, computer science, or a similar quantitative field.
This onsite internship program runs from June 1 to July 31, 2026. Interns will be paid a stipend, depending on their academic level, experience, and work schedule.
Thirty-minute interviews will be scheduled starting February 1, 2026, and will stop when all three positions are filled. The online application portal will close no later than February 28, 2026.
Website: https://jeffline.jefferson.edu/education/programs/biostatistics_si
Contact: Tingting Zhan, tingting.zhan@jefferson.edu
Travelers Insurance Company
Hartford, Connecticut
Positions: 30
Type of Student: Master’s or PhD
Deadline: January 30, 2026
The goal of the Data Science Leadership Development Program internship is to attract and develop self-motivated individuals who are highly skilled and passionate about a career in data science while providing a foundation for future success within the organization.
As a DSLDP intern, you will be exposed to a challenging professional work experience in data science, with planned activities giving you insight into the community at Travelers and the many ways we solve business problems using cutting-edge statistical and analytical techniques.
You will assist in designing and developing program methods, processes, and systems to consolidate and analyze unstructured and structured, diverse data sources to generate actionable insights and solutions for client services and product enhancement.
With many company-wide events such as the intern symposium and community outreach events, you will have the opportunity to interact and network with many levels of leadership and management. You will be expected to work together with fellow interns to develop and present solutions to relevant business and data science topics.
Website: https://tinyurl.com/686xtz3f
University of Texas Medical Branch Summer Institute in Biostatistics and Data Science
Galveston, Texas
Positions: 20
Type of Student: Undergraduate student majoring in mathematics, statistics, computer science, biology, or other health science
Deadline: April 15, 2026
The Summer Institute in Biostatistics and Data Science is an intensive seven-week program (June 6 – July 25, 2026) 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 in both 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 citizens or permanent residents.
Travel to Galveston and a living stipend (including lodging and meals) are provided.
Website: www.utmb.edu/spph/department/of-biostatistics-data-science/programs-training/summer-institute
Contact: Heidi Spratt, hespratt@utmb.edu, Monica Cline, mjcline@utmb.edu
Vertex Pharmaceuticals
Boston, Massachusetts
Positions: 3
Type of Student: PhD
Deadline: December 8
- Explore statistical methodology related to clinical trials
- Perform simulation studies
- Analyze clinical study data and interpret the results for a cross-functional team
- Build R programs (and possibly an R shiny app) and conduct analyses in SAS
- Present research results and learnings to the biostatistics department and broader audience at departmental seminars and/or company poster sessions
- Summarize the work for future departmental use and potentially produce a peer-reviewed publication
- Attend seminars and other company activities to enhance the understanding of the drug development process and daily work of biostatisticians in a biotechnology company
We expect to have two positions for biostatistics and one position for real-world statistics (RWS). Qualifications are the same. RWS only differs in that they work with real-world data, while biostatistics works on clinical trials. Apply by date indicated to be guaranteed consideration. If positions are not yet filled, applications will be accepted until they are.
Website: www.vrtx.com/careers/career-growth-and-opportunities/internships
Contact: glen_laird@vrtx.com
WashU Medicine Institute for Informatics, Data Science, and Biostatistics
St. Louis, Missouri
Positions:15
Type of Student: Undergraduate and graduate students
Deadline: January 15, 2026
The program trains students in biomedical informatics and data science core competencies. Under the guidance of faculty mentors and research scientists, interns focus on supporting and elevating biomedical informatics through research translation and practice. I2DB selects students based on background, experience, skills, and interest in learning more about informatics.
The internship in biomedical informatics and data Science, better known as “BIDS@I2DB,” is a funded, 11-week internship opportunity that allows undergraduate and master’s students from a wide variety of backgrounds to explore biomedical informatics.
Website: https://i2db.wustl.edu/educationprograms/biomedical-informatics-and-data-science-internship
Weill Cornell Medicine
Remote
Positions: 2-4
Type of Student: PhD
Deadline: February 1, 2026
The Mallick Lab at Weill Cornell Medicine and Cornell University is offering multiple full-time summer biostatistics internship opportunities lasting approximately 10–12 weeks (from May/June to August/September; dates are flexible). As a biostatistics intern, you will work closely with the Principal Investigator and other members of the Mallick Lab on cutting-edge projects in multimodal AI and omics data science. Potential areas of focus include spatial transcriptomics, deep learning, causal inference, digital pathology, Bayesian methods, and machine learning.
Eligibility for this internship is limited to advanced PhD students, typically in their third, fourth, or fifth year of doctoral training in biostatistics, statistics, computer science, computational biology, or a closely related quantitative field. Applicants should have completed substantial graduate-level coursework and demonstrate strong proficiency in R and/or Python, along with excellent written and oral communication skills. Master’s students, undergraduates, and early-stage PhD students (first or second year) are not eligible for consideration.
To apply, please send your CV, a brief cover letter describing your interest in the position, and one representative sample of your work (such as a working or published paper or a piece of software) to him4004@med.cornell.edu.

Also diploma graduate must be considered for internship in order to learn and getting experience on activities hence improve their strength and concentration.
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