Data & Quantitative Sciences Statistical Programming Intern - Summer 2027

At Bristol Myers Squibb, our employees often ask, “Who are you working for?”—a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to discover, develop, and deliver innovative medicines to prevail over serious diseases. We offer uniquely interesting and meaningful work, opportunities for growth, and a supportive environment that values inclusion, wellbeing, flexibility, and comprehensive benefits. This is work that transforms the lives of patients, and the careers of those who do it.

Position Summary

The Statistical Programming Summer Internship provides a master’s-level student with the opportunity to apply programming, data science, automation, and emerging technologies to real-world challenges in clinical development.
The intern will work alongside experienced statistical programmers and cross-functional partners on a defined project focused on improving the efficiency, quality, or scalability of clinical data and statistical programming processes. Depending on project assignment, the work may involve clinical trial data and metadata, CDISC standards, SAS or R programming, Python-based automation, generative AI, validation and testing, or development of reusable programming solutions. The internship is intended to provide hands-on experience in a regulated pharmaceutical environment while giving the intern an opportunity to develop a practical solution, evaluate its effectiveness, document findings, and present recommendations to the broader team.

Key Responsibilities
-Work with a project supervisor and subject-matter experts to understand a statistical programming, clinical data, automation, or technology-related business problem and translate it into clear project objectives and deliverables.
-Design, develop, test, and document a prototype, analytical workflow, automation solution, or reusable programming approach.
-Apply programming languages such as SAS, R, and/or Python to data processing, analysis, automation, validation, or clinical programming use cases.
-Explore opportunities to use automation, generative AI, metadata-driven approaches, or open-source technologies to improve programming efficiency and quality.

-Work with structured data and metadata and, where applicable, gain exposure to CDISC standards such as SDTM, ADaM, and Define-XML.
-Perform structured testing and validation to evaluate the accuracy, consistency, reliability, and limitations of developed solutions.
-Compare results against existing processes or established approaches and clearly document differences, assumptions, limitations, and areas requiring human review.
-Collaborate with statistical programmers and other cross-functional stakeholders to gather requirements, obtain feedback, and refine solutions.
-Prepare clear technical documentation and summarize project findings, lessons learned, and recommendations.
-Present the completed project and demonstrate key outcomes to Statistical Programming colleagues and other stakeholders at the conclusion of the internship.

Qualifications & Experience
Required Qualifications
-Currently enrolled in a Master’s degree program in Statistics, Biostatistics, Data Science, Computer Science, Software Engineering, Mathematics, or a closely related quantitative discipline.
-Must be continuing in the Master’s degree program following completion of the internship.
-Experience programming in at least one of the following: SAS, R, or Python.
-Foundational knowledge of data manipulation, analytical programming, statistical computing, software development, or related quantitative methods.
-Demonstrated ability to learn new programming languages, tools, and technical concepts.
-Strong analytical and problem-solving skills with attention to detail.
-Strong written and verbal communication skills.

Preferred Qualifications and Experience
-Experience with two or more of SAS, R, and Python.
-Familiarity with Git/GitHub, Visual Studio Code, automated testing, or reproducible programming workflows.
-Knowledge of clinical trial data or experience working with healthcare, life sciences, or other regulated data.
-Familiarity with CDISC standards, particularly SDTM, ADaM, Define-XML, or clinical trial metadata.
-Experience or coursework involving generative AI, large language models, automation, software testing, APIs, XML/JSON, or data visualization.
-Interest in applying emerging technology to improve clinical development and statistical programming processes.

Core Competencies

-Analytical Thinking: Able to break down complex problems, evaluate evidence, and develop practical solutions.
-Programming and Technical Learning: Demonstrates a strong foundation in programming and the ability to quickly learn new languages, tools, standards, and technologies.
-Innovation and Curiosity: Curious about emerging technologies and willing to explore new approaches to improve existing processes.
-Quality and Attention to Detail: Produces accurate, well-documented work and recognizes the importance of testing, validation, traceability, and reproducibility.
-Problem Solving: Able to identify issues, investigate root causes, compare alternative approaches, and recommend appropriate solutions.
-Collaboration: Works effectively with mentors, statistical programmers, and cross-functional partners and incorporates feedback constructively.
-Communication: Able to explain technical concepts, methods, findings, and limitations clearly to both technical and non-technical audiences.
-Accountability and Initiative: Self-motivated and able to manage assigned work, communicate progress, and deliver agreed project objectives within the internship timeline.
-Responsible Use of Technology: Understands the importance of data privacy, appropriate human oversight, and responsible use of automation and AI in a regulated environment.

We hire for skills and capabilities, not just credentials – if this role excites you, but doesn’t perfectly match your resume, we encourage you to apply anyway.

Compensation Overview:

$32-$55/hour

Pay for this internship/co‑op position is provided in accordance with local market practices and applicable laws. Pay may be offered as an hourly rate and/or monthly stipend, or other locally compliant structure. Pay is determined based on objective factors such as academic level, relevant experience, skills, and work location.

Interns and co‑op participants may be eligible for limited benefits depending on program structure, work location, and local requirements. Eligibility and offerings are governed by applicable policies and employment regulations.

This is a temporary, time‑bound position intended for the duration of the internship or co‑op program and does not guarantee continued or permanent employment following program completion.

How We Work

Where you work matters – because collaboration, innovation and patient impact happen in many settings. Our roles are structured across four work models: site-essential, site-by-design, field-based and remote-by-design. The model assigned to this role is based on its core responsibilities. Learn more at

Supporting People with Disabilities

Candidate Rights

BMS will consider qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.

For roles based in Los Angeles County only:  If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information:

For roles based in Washington State only: If you live in or expect to work from Washington State if hired for this position, please visit this page for important information about the Washington Fair Chance Act.

Data Protection

We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at  .

Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

R1608542 : Data & Quantitative Sciences Statistical Programming Intern - Summer 2027