Data & Quantitative Sciences Statistical Programming Intern

🔥 20 hours ago

🏄 California, New Jersey, +2 more states – Remote

🏄 California – Remote 🏖️ New Jersey – Remote 🍂 Massachusetts – Remote ☕ Washington – Remote

💵 $32 - $55 / hour

⏰ Full Time

⚪️ Entry-level

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Bristol Myers Squibb

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1887

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Bristol Myers Squibb is a global biopharmaceutical company that is dedicated to discovering, developing, and delivering innovative medicines that help patients prevail over serious diseases. Their areas of focus include cardiovascular health, cell therapy, immunology, and oncology. With a commitment to transforming patient outcomes through pioneering science, Bristol Myers Squibb partners with a worldwide network of researchers, healthcare providers, and other stakeholders. They aim to lead in innovation for patients while fostering diversity and inclusion within their workforce.

📋 Description

• 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 project objectives and deliverables • Design, develop, test, and document a prototype, analytical workflow, automation solution, or reusable programming approach • Apply SAS, R, and/or Python to data processing, analysis, automation, validation, or clinical programming use cases • Explore 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 solution accuracy, consistency, reliability, and limitations • Compare results against existing processes or established approaches and document differences, assumptions, limitations, and areas requiring human review • Collaborate with statistical programmers and cross-functional stakeholders to gather requirements, obtain feedback, and refine solutions • Prepare technical documentation and summarize project findings, lessons learned, and recommendations • Present the completed project and key outcomes to Statistical Programming colleagues and other stakeholders at the conclusion of the internship

🎯 Requirements

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

🏖️ Benefits

• Opportunities for growth • Supportive environment • Inclusion, wellbeing, flexibility, and comprehensive benefits • Interns and co-op participants may be eligible for limited benefits depending on program structure, work location, and local requirements

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