Senior Business Analyst

Role Summary

The Senior Business Analyst in the LIMS ELN and Entity Registration Platforms team will bridge scientific research needs and IT solutions, with a primary focus on Electronic Laboratory Notebooks/Laboratory Information Management Systems (ELN/LIMS) and the responsible adoption of Generative AI tools. This hands-on role partners with researchers, lab personnel, and IT to gather requirements, design solutions, and ensure effective implementation and support of ELN/LIMS capabilities, instrument connectivity, and GenAI-enabled workflows that 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 (e.g., protocol drafting, experiment summarization, semantic search, assay troubleshooting assistants); 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.

Skills

• Strong commitment to a career in technology with a passion for healthcare and impact on patients.
• Proven experience with ELN/LIMS in biotech/pharma research labs
• Knowledge of molecular biology, antibody discovery, protein chemistry/biochemistry workflows and data management.
• Comfort translating scientific needs into system configurations, integrations, and training.
• Ability to work collaboratively with scientists, IT colleagues, vendors, and contractors.
• Demonstrated success operating within a matrixed organization and driving consensus.
• Strong focus on user experience, change management, and adoption.
• Excellent communication skills and agility to learn new tools and processes.

Education

• Bachelor's or Master's in Life Sciences (e.g., Molecular Biology, Biochemistry, Bioengineering) or related field.

Additional Requirements

• Regulatory Knowledge: Working understanding of 21 CFR Part 11, data integrity, and GxP/CLIA principles as applicable.
• Experience with instrument data capture and pipeline tooling; exposure to cloud analytics may be beneficial.