Working with Us
Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.

Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us.

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  Job Posting Title Senior Business Analyst
• Job Description

  Position Overview

  At Bristol Myers Squibb, we are inspired by a single vision — transforming patients’ lives through science. Across oncology, hematology, immunology, and cardiovascular disease, our colleagues advance innovations that drive meaningful change. The Senior Business Analyst on the LIMS/ELN and Entity Registration Platforms team bridges scientific research needs and IT solutions, with a focus on ELN/LIMS capabilities and the responsible adoption of Generative AI. The role partners with researchers, lab personnel, and IT to understand workflows, design solutions, and ensure effective implementation and support. What sets this role apart is its hands-on, build-oriented delivery model. Rather than relying solely on written specifications and slide-based reviews, this analyst configures working solutions and prototypes directly in the platform — schemas, registration models, templates, and GenAI-assisted workflows — and uses live demonstrations to validate designs with stakeholders. The goal is a faster, more iterative path from scientific need to deployed capability.

  Our Delivery Approach

  Build to Demonstrate:  Alongside traditional analysis, this role emphasizes prototyping. Where a workflow gap is identified, the analyst builds a working configuration in the platform and walks stakeholders through it in a live session — complementing requirements documentation with tangible, testable solutions.
• Hands-on prototyping: Configure working solutions directly in Benchling (or Sapio, Genedata, IDBS) to validate designs early and reduce rework.
• Demonstrate solutions live: Use working platform sessions, alongside documentation, so stakeholders can react to a real solution rather than only a specification.
• Iterative, sprint-based delivery: Scope and deliver in short cycles, refining configurations based on direct user feedback rather than long upfront analysis phases.
• GenAI as a practical tool: Build and test AI-assisted lab workflows — prompt templates, summarization, protocol drafting — iterating with users to prove value before scale-up.
• Platform depth: Strong hands-on ELN/LIMS configuration expertise (schemas, registry models, templates, routing) is central to the role, complementing analytical and stakeholder skills.
• Prototyping & Platform Delivery: Translate scientific workflow needs into working platform configurations — schemas, entry forms, templates, routing rules, review workflows. Conduct working sessions in the platform (e.g., Benchling) to validate designs with scientists, complementing written requirements with live demonstration. Own end-to-end delivery of scoped platform features, from requirements through deployed, tested configuration and support. Develop reusable configuration patterns and components to improve delivery speed and consistency over time.
• GenAI Workflow Enablement: Identify, prototype, and deploy GenAI-assisted workflows: protocol drafting assistants, experiment summarization, semantic search, assay troubleshooting bots. Build working prototypes using API calls, prompt templates, and lightweight RAG pipelines — demonstrate live to science stakeholders. Define evaluation criteria, guardrails, and responsibl