Senior Data Scientist
Listed on 2026-07-14
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IT/Tech
Data Scientist, AI Engineer (Applied/Software)
Senior Data Scientist
Position Summary: Bristol Myers Squibb is at the forefront of transforming drug development through artificial intelligence. The Senior Data Scientist will design and deploy AI‑powered applications that optimize workflows, automate repetitive processes, and enhance data validation and visualization. The role also requires a strong understanding of data science workflows—including pharmacometric analysis, TLF construction, and regulatory submission packaging—to identify automation opportunities and build intelligent solutions that streamline these processes.
Key Responsibilities- Design and implement scalable web applications supporting data science workflows, including tools for data ingestion, parsing, examination, and cleaning of clinical datasets.
- Develop AI‑powered interactive visualization platforms to investigate complex datasets, identify patterns and anomalies, and communicate insights clearly to both technical and non‑technical stakeholders.
- Build and maintain LLM‑powered applications and intelligent agents that assist in data processing, document handling, and decision support.
- Actively evaluate and champion emerging AI technologies and frameworks, proposing and implementing relevant advancements to continuously enhance team capabilities and tooling.
- Collaborate closely with cross‑functional teams to translate operational and scientific needs into robust, intelligent software solutions.
- Maintain a solid understanding of end‑to‑end data science workflows, including pharmacometric analysis dataset preparation, TLF production, and regulatory submission packaging.
- Support preparation of analysis‑ready datasets for NONMEM or other modeling tools using SAS, R, or other programming languages, applying foundational knowledge of PK/PD and clinical data concepts.
- Assist with submission packages (datasets, TLFs, PMx report data sections) and perform quality control to ensure data accuracy and consistency across studies.
- Master’s degree (or Bachelor’s with significant experience) in Engineering, Computer Science, Information Technology, Mathematics, Statistics, or a related quantitative field.
- 2+ years of hands‑on software development experience.
- Proficiency in Python and JavaScript/Type Script.
- Full‑stack development experience with modern web technologies (e.g., React, Angular, FastAPI, Flask, Node.js), including Git‑based version control and software testing practices, with a commitment to code reproducibility and maintainability.
- Ability to implement sophisticated algorithms to derive complex datasets and resolve data issues.
- Strong problem‑solving skills, attention to detail, and the ability to work collaboratively in a multidisciplinary team.
- Excellent interpersonal and communication skills.
- Willingness to travel domestically and internationally for conferences (approximately 5–10% of the time).
- 2+ years of pharmaceutical industry experience preparing SAS datasets for analysis, including 1+ year preparing SAS datasets for pharmacometric analysis in NONMEM, NLME, or Win Nonlin; proficiency in SAS or R, with certification in either a plus.
- Familiarity with CDISC standards and quality control principles.
- Hands‑on experience with AI‑assisted development tools (e.g., Claude Code, Codex, Git Hub Copilot).
Cambridge Crossing: $128,670 - $155,921
Princeton - NJ - US: $111,890 - $135,579
Tampa - FL - US: $111,890 - $135,579
The starting compensation range(s) for this role are listed above for a full‑time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. Final, individual compensation will be decided based on demonstrated experience.
Equal Employment Opportunity & AccessibilityBMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.
BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments, and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. Visit to access our complete Equal Employment Opportunity statement.
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R1603790:
Senior Data Scientist
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