Sr. Business Analyst: In-Vivo & Non-Clinical Safety

Working with Us
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Position Overview:

The Senior Business Analyst in the Invivo and Non-Clinical Safety 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.

If you want an exciting and rewarding career that is meaningful, consider joining our diverse team!

Desired Candidate Characteristics:

• 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

• Degree in Biological or Chemical Sciences with prior hands-on research experience

• 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.

Key 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: