Senior Manager, Principal Business Analyst

About the role

The Sr. Manager, Senior 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.

Responsibilities

• Support 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 support delivery.
• 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.
• Contribute to a forward-looking AI capability roadmap for the LIMS/ELN stack, informed by vendor roadmaps, industry trends, and BMS research strategy.
• Promote data structuring practices that position experimental data for downstream machine learning, meta-analysis, and cross-program AI applications.
• Partner with research scientists, program teams, and data governance leads to elicit, structure, and prioritize platform requirements at the tactical level.
• Design platform solutions that meet regulatory requirements (GxP, 21 CFR Part 11) while enabling the flexibility needed for cutting-edge R&D.
• Consider near-term scientific and data needs — capturing not just what users ask for today, but what they are likely to need as workflows evolve.
• Develop clear, accurate documentation including user guides, SOPs, and system specifications.
• Serve as a knowledgeable resource for the research community on platform capabilities and digital tools.
• Monitor platform usage, collect structured feedback, and translate insights into prioritized enhancements.
• Build and maintain strong relationships with scientists, IT colleagues, and platform vendors (Benchling, Dotmatics, Revvity, PerkinElmer, and others).
• Communicate program status, risks, and recommendations clearly to team leads and senior stakeholders.

Requirements

• Bachelor's degree in Life Sciences, Computational Biology, Bioinformatics, Computer Science, or a related field. Advanced degree preferred.
• 5–7 years of experience in a technology analyst, platform analyst, or scientific informatics role — in a pharma, biotech, or CRO environment.
• Hands-on experience with LIMS and/or ELN platforms; Benchling experience strongly preferred.
• Proficiency with Agile/Scrum delivery (Jira, user stories, sprint planning) and software development lifecycle (SDLC) fundamentals.
• Working knowledge of data models, database concepts, APIs, and integration patterns relevant to lab informatics.
• Demonstrated ability to evaluate and deploy new digital tools — including AI or automation capabilities — in a scientific or regulated setting.
• Strong analytical skills with the ability to translate complex scientific requirements into structured, implementable technical solutions.
• Excellent verbal and written communication; comfortable presenting to both scientists and senior IT/business leaders.
• Familiarity with GxP regulatory requirements and quality standards applicable to lab systems.

Qualifications

• Direct deployment experience with Benchling and at least one other platform (Dotmatics, Genedata, Revvity/PerkinElmer Signals, Sapio Sciences).
• Exposure to generative AI tools, LLM APIs, or agentic workflow frameworks — with hands-on prototyping or implementation experience.
• Experience with data analytics, scientific reporting tools (e.g., Spotfire, Power BI), or lab data pipelines.
• Certification in Business Analysis (CBAP, CCBA) or Project Management (PMP, SAFe).
• Familiarity with antibody discovery, biologics characterization, or high-throughput screening workflows is a strong differentiator.
• Ability to write basic scripts (Python, SQL) to interrogate platform data, prototype integrations, or automate configuration tasks.

Benefits

Our benefits include:

• Health Coverage: Medical, pharmacy, dental, and vision care.
• Wellbeing Support: Programs such as 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 Include Paid Time Off.