Bristol Myers Squibb
Summary
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. We bring a human touch to every treatment we pioneer. 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, focusing on Electronic Laboratory Notebooks/Laboratory Information Management Systems (ELN/LIMS) and 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 – U.S. $91,290 – $110,622. The starting compensation range for this role is for a full‑time employee (FTE) based on required skills, location, and other factors. Additional incentive cash and stock opportunities (based on eligibility) may be available. Final, individual compensation will be decided based on demonstrated experience. Eligibility for specific benefits may vary; more details are available on our careers site. On‑site Protocol
BMS has an occupancy structure that determines where an employee is required to conduct their work. This includes site‑essential, site‑by‑design, field‑based, and remote‑by‑design jobs. The occupancy type assigned depends on the nature and responsibilities of your role. Our guidance explains the distinctions and expectations for each type. Equal Employment Opportunity Statement
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. BMS will consider applicants with arrest and conviction records in accordance with applicable laws. BMS strongly recommends vaccination for COVID‑19 and boosters for employees. All data processed in the recruitment process will be treated per privacy policies and regulations. Apply Today
If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.
#J-18808-Ljbffr
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. We bring a human touch to every treatment we pioneer. 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, focusing on Electronic Laboratory Notebooks/Laboratory Information Management Systems (ELN/LIMS) and 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 – U.S. $91,290 – $110,622. The starting compensation range for this role is for a full‑time employee (FTE) based on required skills, location, and other factors. Additional incentive cash and stock opportunities (based on eligibility) may be available. Final, individual compensation will be decided based on demonstrated experience. Eligibility for specific benefits may vary; more details are available on our careers site. On‑site Protocol
BMS has an occupancy structure that determines where an employee is required to conduct their work. This includes site‑essential, site‑by‑design, field‑based, and remote‑by‑design jobs. The occupancy type assigned depends on the nature and responsibilities of your role. Our guidance explains the distinctions and expectations for each type. Equal Employment Opportunity Statement
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. BMS will consider applicants with arrest and conviction records in accordance with applicable laws. BMS strongly recommends vaccination for COVID‑19 and boosters for employees. All data processed in the recruitment process will be treated per privacy policies and regulations. Apply Today
If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.
#J-18808-Ljbffr