Senior Business Analyst

Role Summary

Senior Business Analyst in the LIMS ELN and Entity Registration Platforms team focused on ELN/LIMS and GenAI-enabled workflows. Bridging scientific research needs with IT solutions to improve data quality, speed of insight, and compliance.

Responsibilities

• Requirements Gathering: 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.
• Solution Design: Partner with platform engineers and vendors to design configurations (schemas, registration models, templates, routing), integrations (APIs/webhooks/ETL), roles/permissions, and audit/traceability aligned with BMS standards.
• GenAI Enablement: Identify high-value GenAI opportunities; define guardrails, evaluation, and privacy controls; support pilots through scale-up.
• Instrument & Data Connectivity: Coordinate instrument data capture, ensure metadata/FAIR practices, and support interoperability with analytics/warehouse environments.
• Delivery & Support: Manage backlogs and Jira boards; write user stories and acceptance criteria; plan and script UAT; develop training materials and conduct structured end-user training; provide post-go-live support.
• Compliance & Quality: Partner with QA/Validation as applicable (e.g., 21 CFR Part 11, GxP/CLIA contexts), ensuring documentation, change control, and audit readiness.
• Stakeholder & Vendor Management: Coordinate across Research, IT, Security, and vendors; contribute to roadmaps, SOWs, and service reviews to meet SLAs and continuous improvement goals.

Qualifications

• Education: Bachelor's or Master's in Life Sciences (e.g., Molecular Biology, Biochemistry, Bioengineering) or related field.
• Experience: 3+ years as a Business Analyst (or Product BA) in life-sciences R&D; 3+ years configuring/implementing ELN/LIMS (Benchling, Genedata, Dotmatics, Revvity, Sapio, etc.).
• GenAI: 1-2+ years enabling enterprise GenAI solutions (prompting/RAG, evaluation/guardrails, responsible use) for scientific knowledge or workflow assistance.
• Technical Skills: Familiarity with ELN/LIMS configuration, REST APIs/JSON, basic SQL; understanding of data models, ontologies, and controlled vocabularies.
• Analytical Skills: Ability to translate complex scientific requirements into testable specifications and measurable outcomes.
• Communication: Strong written/verbal skills for lab, IT, and leadership audiences.
• Regulatory Knowledge: Working understanding of 21 CFR Part 11, data integrity, and GxP/CLIA principles as applicable.

Preferred Qualifications

• Hands-on system administration, including schema/registry design, workflows, templates, and data analysis configurations.
• Experience with instrument data capture and pipeline tooling; exposure to cloud analytics (Databricks/Snowflake/Power BI).
• Familiarity with vector search/embeddings and evaluation frameworks for GenAI; basic Python or notebooks for demos/data exploration.
• Professional certifications (CBAP/CCBA, CSPO/PSPO, PMP).