Senior IT Business Analyst
Working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, transforming the lives of patients and the careers of those who do it. You’ll grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. We recognize the importance of balance and flexibility, offering a wide variety of competitive benefits, services, and programs to support your goals both at work and in your personal life.
About the role
The Senior IT Business Analyst (Sr. IT BA) – Research Sample & Reagent Management is accountable for delivering IT capabilities and services supporting BMS Research, with a focus on Sample Management and Reagent Management within Drug Discovery Research. This role bridges business analysis and hands-on development, partnering with IT colleagues and scientific researchers to define and drive digital capabilities—including cross-functional initiatives. The ideal candidate will also bring applied AI and Generative AI fluency to accelerate discovery, automate workflows, and shape next-generation solutions.
This individual will collaborate with IT Business Partners, Product Managers, Digital Capability Managers, and scientific researchers, while overseeing Jr. IT Business Analysts and Consultants in delivering technical capabilities.
Responsibilities
Research Domain & Scientific Engagement
- Develops deep domain knowledge of Sample Management and Reagent Management processes, workflows, and data within Drug Discovery Research.
- Collaborates directly with bench scientists, lab operations teams, and research informatics personnel to translate scientific workflows into actionable digital requirements.
- Acts as a trusted domain liaison—understanding how samples and reagents are tracked, stored, consumed, and reported across the drug discovery lifecycle.
Core Business Analysis
- Partners with IT Peers: Provides insightful analysis for digital capability investments across Research IT.
- Shapes Business Demands: Elicits business needs with creative empathy, maps complex processes, discovers root causes, curates requirements and user stories, and maintains focus on business value.
- Manages Stakeholder Experiences: Generates rich stakeholder assessments to manage expectations and advise on delivery challenges.
- Constructively Advocates for Value: Represents the "voice of the customer," connects stakeholders with IT services, and ensures delivery teams balance speed, quality, and cost.
- Enables Compelling Business Cases: Aids in developing business cases for new digital investments; identifies, defines, and measures outcomes for high-value capabilities.
- Leverages Cross-Organizational Relationships: Ensures IT functions successfully deliver services across Drug Discovery Research.
- Brings an External View: Maintains awareness of industry trends and technology advancements; brings innovative ideas to the organization.
- Communicates Effectively: Organizes and presents complex ideas simply and compellingly to technical and non-technical audiences; influences change management strategies.
- Shows Good Judgment: Communicates successes and issues accurately and urgently; takes accountability for managing expectations.
- Boldly Acts with Urgency: Provokes uncomfortable conversations to remove roadblocks to value delivery.
- Expresses a Growth Mindset: Demonstrates passion for skill development in Business Analysis, Business Relationship Management, and the pharmaceutical domain.
- Advances the BA Practice: Brings mature, impactful business analysis behaviors that drive change and deliver value.
Development & Prototyping Capability
- Builds to Validate: Actively prototypes, configures, and develops thin-slice solutions (scripts, workflows, UI mock-ups) to validate requirements and accelerate delivery.
- Bridges the Last Mile: Partners with engineering teams and contributes to solution development using low-code/no-code platforms, scripting (Python, SQL), or configuration-based tooling.
- Reduces Handoff Loss: Leverages development fluency to minimize misinterpretation between business and technical teams—translating intent into working artifacts.
- Accelerates POCs: Leads rapid Proof of Concept efforts to demonstrate feasibility, surface technical risks, and validate business hypotheses in compressed sprints.
- Owns End-to-End Quality: Defines testable acceptance criteria, supports UAT, and validates delivered solutions against intended outcomes.
AI & Generative AI Capabilities
- Applies AI to Analysis Work: Uses BMS-approved GenAI tools (e.g., Microsoft Copilot) to accelerate requirements gathering, process documentation, and stakeholder communication.
- Identifies AI Opportunity Areas: Proactively evaluates workflows for AI-augmentation potential, including automation, intelligent document processing, and AI-assisted data interpretation.
- Fluent in Responsible AI Principles: Applies frameworks for data privacy, bias awareness, model transparency, and governance.
- Contributes to AI Strategy: Partners with IT Business Partners and Product Managers to shape the AI capability roadmap for Research IT.
- Champions AI Literacy: Mentors teammates on the effective and responsible use of AI tools.
Requirements
- B.S., M.S., or Ph.D. in Life Sciences (Biology, Chemistry, Biochemistry, Bioinformatics) or Technical discipline (Computer Science, Information Technology, or equivalent).
- 5+ years of progressive IT experience in scientific application analysis, design, or support within pharmaceutical, biotech, or life sciences.
- Direct hands-on experience with Sample Management and/or Reagent Management processes, systems, or workflows in Drug Discovery Research.
- Demonstrated ability to elicit, document, and manage requirements (user stories, process maps, use cases).
- Working knowledge of Agile/Scrum methodologies applied to SDLC and IT services.
- Proficiency in SQL and/or Python for data querying, analysis, or lightweight scripting.
- Strong collaboration, communication, and presentation skills.
- Track record of delivering high-value digital capability projects within timelines and budget.
Preferred Qualifications
- Experience with scientific inventory and Reagent platforms.
- Exposure to Drug Discovery Research organizational functions and workflows.
- Experience with low-code/no-code platforms (e.g., Microsoft Power Platform, ServiceNow).
- Familiarity with GenAI tools in a professional or enterprise workflow.
- IIBA Certification or equivalent Business Analysis Certification.
- Experience overseeing Jr. Business Analysts or Consultants.
Pay
Princeton, NJ (US): $94,180 - $114,124 annually for a full-time employee. Additional incentive cash and stock opportunities may be available based on eligibility. The starting pay rate reflects required skills, job location, and experience. Final compensation will be determined by demonstrated experience.
Benefits
- Health Coverage: Medical, pharmacy, dental, and vision care.
- Wellbeing Support: BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).
- Financial Well-being and 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, and survivor support.
- Work-life Benefits:
- Paid Time Off (US Exempt Employees): Flexible time off (unlimited, with manager approval) and 11 paid national holidays (not applicable to Phoenix, AZ, Puerto Rico, or Rayzebio employees).
- Phoenix, AZ, Puerto Rico, and Rayzebio Employees: 160 hours annual paid vacation for new hires (with manager approval), 11 national holidays, and 3 optional holidays.
- Additional time off based on eligibility: unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, leaves of absence (medical, personal, parental, caregiver, bereavement, military), and an annual Global Shutdown between Christmas and New Year’s Day.
Eligibility for specific benefits varies by job and location. For details, visit careers.bms.com/life-at-bms.