Bristol Myers Squibb
Senior Business Analyst – Bristol Myers Squibb – Princeton, NJ
At Bristol Myers Squibb, we are inspired by a single vision – transforming patients’ lives through science. Across oncology, hematology, immunology and cardiovascular disease, our colleagues advance innovations that drive meaningful change. Join us and make a difference.
Position Overview 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.
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.
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.
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: 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 (e.g., 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).
Compensation Overview Princeton – NJ – US $91,290 – $110,622
The starting compensation range for this role is listed above for a full‑time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. Final, individual compensation will be decided based on demonstrated experience.
Benefits Bristol Myers Squibb offers competitive benefits, services and programs that support employees’ well‑being and work‑life balance. Benefits include medical, pharmacy, dental and vision care; wellbeing programs; financial resources; paid vacation, sick leave, and optional holiday time; parental and caregiver leave; and additional perks such as tuition reimbursement and recognition programs.
On‑Site Protocol BMS has an occupancy structure that determines where an employee is required to conduct their work. Roles may be 100% onsite, hybrid (at least 50% onsite), or remote‑by‑design. Occupancy type is determined by the nature and responsibilities of the role.
Equal Employment Opportunity BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request accommodations prior to accepting a job offer. Visit our EEO statement at
https://careers.bms.com/eeo-accessibility . BMS will consider applicants with arrest and conviction records pursuant to applicable laws.
Additional Information Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations. If you live in or expect to work from Los Angeles County, additional information is available at https://careers.bms.com/california-residents/.
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Position Overview 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.
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.
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.
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: 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 (e.g., 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).
Compensation Overview Princeton – NJ – US $91,290 – $110,622
The starting compensation range for this role is listed above for a full‑time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. Final, individual compensation will be decided based on demonstrated experience.
Benefits Bristol Myers Squibb offers competitive benefits, services and programs that support employees’ well‑being and work‑life balance. Benefits include medical, pharmacy, dental and vision care; wellbeing programs; financial resources; paid vacation, sick leave, and optional holiday time; parental and caregiver leave; and additional perks such as tuition reimbursement and recognition programs.
On‑Site Protocol BMS has an occupancy structure that determines where an employee is required to conduct their work. Roles may be 100% onsite, hybrid (at least 50% onsite), or remote‑by‑design. Occupancy type is determined by the nature and responsibilities of the role.
Equal Employment Opportunity BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request accommodations prior to accepting a job offer. Visit our EEO statement at
https://careers.bms.com/eeo-accessibility . BMS will consider applicants with arrest and conviction records pursuant to applicable laws.
Additional Information Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations. If you live in or expect to work from Los Angeles County, additional information is available at https://careers.bms.com/california-residents/.
#J-18808-Ljbffr