About the role#
The Statistical Programming Summer Internship offers master's students a chance to apply programming, data science, and automation skills to real-world challenges in clinical development. You will work alongside experienced statistical programmers and cross-functional partners on a defined project aimed at improving the efficiency, quality, or scalability of clinical data processes. This role provides hands-on experience in a regulated pharmaceutical environment, where you will develop a practical solution, evaluate its effectiveness, and present your findings.
What you'll do#
- Work with a project supervisor to translate business problems into clear objectives and deliverables.
- Design, develop, test, and document prototypes, analytical workflows, or automation solutions.
- Use SAS, R, or Python for data processing, analysis, and clinical programming tasks.
- Explore automation, generative AI, or metadata-driven approaches to improve programming efficiency.
- Engage with structured data and gain exposure to CDISC standards like SDTM, ADaM, and Define-XML.
- Perform structured testing to evaluate the accuracy and reliability of your solutions.
- Compare your results against established approaches and document any limitations or areas requiring human review.
- Collaborate with stakeholders to gather requirements and refine your work based on feedback.
- Prepare technical documentation and present your project outcomes to the team.
What you'll need#
- Current enrollment in a master's degree program in Statistics, Biostatistics, Data Science, Computer Science, Software Engineering, Mathematics, or a related quantitative field.
- You must be continuing your master's program after the internship concludes.
- Programming experience in at least one of SAS, R, or Python.
- Foundational knowledge of data manipulation, statistical computing, or software development.
- Ability to learn new technical concepts and programming languages quickly.
- Strong analytical, problem-solving, and communication skills.
- Preference for experience with two or more of SAS, R, and Python, or familiarity with Git, GitHub, and Visual Studio Code.
- Interest in applying emerging technology to clinical development is a plus.
Location & details#
- Term: Summer 2027.
- Type: Full-time internship.
- Modality: Remote and on-site options available.
- Locations: Princeton, NJ; Madison, NJ; Brisbane, CA; Cambridge, MA; San Diego, CA; Seattle, WA; or remote within the United States.
- Compensation: $32 to $55 per hour.
About Bristol Myers Squibb
Bristol Myers Squibb is a public pharmaceutical company founded in 1887. It focuses on research and development in areas such as oncology, hematology, immunology, and cardiovascular disease. The company maintains its headquarters in Lawrence Township, New Jersey. It employs over 38,000 people across various global locations.
How to get in at Bristol Myers Squibb
Applying early to Bristol Myers Squibb gives you a better chance of being seen before the applicant pool grows too large. Intern Insider sends an instant alert the moment a role matching your target is published, helping you get your materials in among the first. This timing is often the difference between a human review and an automated filter. You can reach out to the recruiters behind the company's roles to ask about the position or a referral, which often improves your response rates. Intern Insider surfaces these specific contacts for you, saving you the time of digging through directories. Using these direct channels shows you are serious about the work and helps you stand out from the crowd.
