Senior Business Analyst - ELN and LIMS

Job description

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. Job Posting Title Senior Business Analyst Job DescriptionPosition OverviewAt 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 ApproachBuild 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 responsible-use controls for each GenAI use case; iterate based on user feedback. Partner with platform engineers on integration of AI capabilities into ELN/LIMS workflows. Requirements & Solution Design: 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. Partner with platform engineers and vendors to design configurations, integrations (APIs/webhooks/ETL), roles/permissions, and audit/traceability aligned with BMS standards. Design registration models, schema structures, and data standards consistent with BMS data governance and FAIR principles. Coordinate instrument data capture and interoperability with analytics environments (Databricks, Snowflake, Power BI). Delivery & Quality Assurance: Manage backlog and sprint delivery; write precise user stories and acceptance criteria; script and execute UAT. Develop training materials and conduct structured end-user training, favoring concise, platform-embedded guidance (video walkthroughs, in-app help) where it improves adoption. Partner with QA/Validation for GxP/CLIA-applicable configurations (21 CFR Part 11, data integrity, audit trail); ensure change control documentation. Stakeholder & Vendor Engagement: Serve as the primary hands-on technical contact for scientific stakeholders — able to answer configuration questions live without escalation. Coordinate with platform vendors (Benchling, Sapio, Genedata, IDBS) on feature roadmaps, issue escalation, and configuration best practices. Contribute to SOWs, roadmap planning, and service reviews; represent the team’s delivery capability with credibility. Ideal Candidate ProfileCore Signal: You combine sound analysis with the ability to build. You’re as comfortable documenting a workflow as you are configuring a Benchling schema or GenAI prototype to demonstrate the solution to scientists directly. Required: Demonstrated hands-on ELN/LIMS configuration experience. Benchling schema design, registry models, entry workflows, notebook templates, routing rules or equivalent depth in Sapio, Genedata, Dotmatics, Revvity, or IDBS BioBook. Required: Life sciences domain fluency. Molecular biology, antibody discovery, protein chemistry, biochemistry, or related R&D lab workflows. Degree in Biological or Chemical Sciences; prior hands-on research experience strongly preferred. Required: GenAI prototyping capability. Has built and demonstrated working AI-assisted workflows — prompt engineering, RAG, evaluation frameworks. Basic Python or notebook skills sufficient to demo a prototype without IT support. Required: Clear communication, including ability to communicate effectively with lab, IT, and leadership audiences, and comfortable conducting live system walkthroughs alongside written communication. Preferred: Regulatory awareness. Working knowledge of 21 CFR Part 11, GxP/CLIA data integrity principles, and what they mean for ELN/LIMS configuration.QualificationsEducationBachelor’s or Master’s in Life Sciences (Molecular Biology, Biochemistry, Bioengineering) or related field. Experience3+ years configuring and implementing ELN/LIMS platforms in life-sciences R&D (Benchling, Sapio, Genedata, Dotmatics, Revvity, or IDBS).3+ years in a hands-on platform delivery role (Product BA, Platform Analyst, or equivalent) combining analysis with direct configuration work.1–2+ years enabling GenAI solutions for scientific workflows: prompting, RAG architectures, evaluation/guardrails, responsible deployment.Technical SkillsELN/LIMS configuration: schemas, registry/entity models, notebook templates, workflow routing, roles/permissions.REST APIs / JSON; basic SQL for data validation and ad hoc analysis.Familiarity with data models, ontologies, and controlled vocabularies relevant to res