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.

Position Overview

The Senior Manager, Principal Business Analyst on the LIMS/ELN Product Team is a forward-looking, technically fluent role at the intersection of scientific research and modern digital infrastructure. This is not a traditional business analyst position. It is a business analyst role designed for someone who understands laboratory science, thinks in systems, and builds with AI.

You will serve as the primary technology bridge between identified BMS research groups and our enterprise scientific data platforms — such as ELN/LIMS, entity registration systems, and emerging AI-powered lab tools. You will drive the rollout, configuration, and continuous evolution of these platforms while actively identifying and implementing generative AI capabilities that accelerate DMTA cycle velocity, data quality, and scientist productivity.

This role carries a line of sight to the future of AI-native R&D: a world where lab systems generate decision-ready data, AI agents handle routine analytical tasks, and every experiment contributes to an organizationally shared, queryable knowledge graph. You will help build that future, hands-on.

Desired Candidate Characteristics

• Technologist first, scientist by training — with a genuine passion for AI, data systems, and the future of digital R&D.
• Degree in Biological, Chemical, or Computational Sciences; hands-on research experience in a pharma or biotech setting.
• Fluency in scientific workflows (assay design, protein characterization, compound registration, biologics development) and how they map to lab informatics platforms.
• Track record of deploying and supporting LIMS, ELN, or scientific data platforms in regulated research environments.
• Ability to operate as a technical analyst — not just gathering requirements, but designing solutions, writing specs, building prototypes, and evaluating AI tools. Curiosity about generative AI, LLM-based tooling, and agentic workflows — and eagerness to implement them in the lab science context.
• Strong collaborator who can communicate across scientists, software engineers, data architects, and vendors.
• Comfort in a matrixed global organization, with the initiative to drive progress without waiting for perfect alignment.
• High standards for user experience and data quality — the scientist is the customer.

Key Responsibilities

• Platform Deployment & Configuration
• Lead hands-on configuration, validation, and rollout of ELN/LIMS, entity registration, and connected scientific platforms across BMS research groups.
• Translate scientific workflows into platform schemas, templates, and automation — designing for usability, compliance, and AI-readiness from day one.
• Partner with other work streams and product teams spanning Instrument Connectivity, Data Migration, and Protein Registration workstreams to deliver integrated platform capabilities on program timelines.
• Manage Jira boards, write user stories and technical specifications, and work directly with developers and QA engineers to drive delivery.
• Technology Analysis & AI Integration
• Evaluate emerging generative AI and LLM tools (e.g., AI-assisted protocol generation, natural language data query, intelligent anomaly detection) for applicability in lab informatics workflows.
• Prototype and implement AI-powered capabilities within or alongside the Benchling platform — working with data engineers and platform architects to integrate thoughtfully.
• Maintain a forward-looking AI capability roadmap for the LIMS/ELN stack, informed by vendor roadmaps, industry trends, and BMS research strategy.
• Champion data structuring practices