Sr. Business Analyst: In-Vivo & Non-Clinical Safety

About

Working at Bristol Myers Squibb offers challenging, meaningful, and life‑changing work. The company provides a flexible work environment with competitive benefits, services, and programs to support employees both professionally and personally.

Position Overview

The Senior Business Analyst in the In‑Vivo and Non‑Clinical Safety team will bridge scientific research needs and IT solutions, focusing on Electronic Laboratory Notebooks/Laboratory Information Management Systems (ELN/LIMS) and the responsible adoption of Generative AI tools. This hands‑on role partners with researchers, lab personnel, and IT to gather requirements, design solutions, and ensure effective implementation and support of ELN/LIMS capabilities, instrument connectivity, and GenAI‑enabled workflows that improve data quality, speed of insight, and compliance.

Desired Candidate Characteristics

• Strong commitment to a career in technology with a passion for healthcare and impact on patients.
• Proven experience with ELN/LIMS in biotech/pharma research labs.
• Degree in Biological or Chemical Sciences with prior hands‑on research experience.
• Comfort translating scientific needs into system configurations, integrations, and training.
• Ability to work collaboratively with scientists, IT colleagues, vendors, and contractors.
• Demonstrated success operating within a matrixed organization and driving consensus.
• Strong focus on user experience, change management, and adoption.
• Excellent communication skills and agility to learn new tools and processes.

Key Responsibilities

• Requirements Gathering: Collaborate with scientists and lab managers to understand experimental workflows; document user needs, process maps, and data standards for ELN/LIMS and GenAI use cases.
• Solution Design: Partner with platform engineers and vendors to design configurations (schemas, registration models, templates, routing), integrations (APIs/webhooks/ETL), roles/permissions, and audit/traceability aligned with BMS standards.
• GenAI Enablement: Identify high‑value GenAI opportunities (e.g., protocol drafting, experiment summarization, semantic search, assay troubleshooting assistants); define guardrails, evaluation, and privacy controls; support pilots through scale‑up.
• Instrument & Data Connectivity: Coordinate instrument data capture, ensure metadata/FAIR practices, and support interoperability with analytics/warehouse environments.
• Delivery & Support: Manage backlogs and Jira boards; write user stories and acceptance criteria; plan and script UAT; develop training materials and conduct structured end‑user training; provide post‑go‑live support.
• Compliance & Quality: Partner with QA/Validation as applicable (e.g., 21 CFR Part 11, GxP/CLIA contexts), ensuring documentation, change control, and audit readiness.
• Stakeholder & Vendor Management: Coordinate across Research, IT, Security, and vendors; contribute to roadmaps, SOWs, and service reviews to meet SLAs and continuous improvement goals.

Qualifications

• Education: Bachelor's or Master's in Life Sciences (e.g., Molecular Biology, Biochemistry, Bioengineering) or related field.
• Experience: 3+ years as a Business Analyst (or Product BA) in life‑sciences R&D; 3+ years configuring/implementing ELN/LIMS (Benchling, Genedata, Dotmatics, Revvity, Sapio, etc.).
• GenAI: 1–2+ years enabling enterprise GenAI solutions (prompting/RAG, evaluation/guardrails, responsible use) for scientific knowledge or workflow assistance.
• Technical Skills: Familiarity with ELN/LIMS configuration, REST APIs/JSON, basic SQL; understanding of data models, ontologies, and controlled vocabularies.
• Analytical Skills: Ability to translate complex scientific requirements into testable specifications and measurable outcomes.
• Communication: Strong written/verbal skills for lab, IT, and leadership audiences.
• Regulatory Knowledge: Working understanding of 21 CFR Part 11, data integrity, and GxP/CLIA principles as applicable.

Preferred Qualifications

• Hands‑on system administration, including schema/registry design, workflows, templates, and data analysis configurations.
• Experience with instrument data capture and pipeline tooling; exposure to cloud analytics (e.g., Databricks, Snowflake, Power BI).
• Familiarity with vector search/embeddings and evaluation frameworks for GenAI; basic Python or notebooks for demos/data exploration.
• Professional certifications (CBAP/CCBA, CSPO/PSPO, PMP).

Compensation Overview

• Location: Cambridge Crossing
• Salary Range: $118,650 – $143,778 (full‑time employee basis)
• Additional incentive cash and stock opportunities may be available based on eligibility.

Benefits

• Health Coverage: Medical, pharmacy, dental, and vision care.
• Wellbeing Support: BMS Well‑Being Account, BMS Living Life Better, Employee Assistance Programs (EAP).
• Financial Well‑being & Protection: 401(k) plan, short‑ and long‑term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, survivor support.

Paid Time Off

• US Exempt Employees: Flexible time off (unlimited, with manager approval) plus 11 paid national holidays.
• Phoenix, AZ, Puerto Rico, and Rayzebio Employees: 160 hours annual paid vacation for new hires, 11 national holidays, and 3 optional holidays.
• Additional time off may include unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, various leaves of absence (medical, personal, parental, caregiver, bereavement, military), and an annual Global Shutdown between Christmas and New Year’s Day.

Company Culture

BMS’s vision is “Transforming patients' lives through science™.” Employees are empowered to apply their talents in a supportive culture that values passion, innovation, urgency, accountability, inclusion, and integrity.