Senior Business Analyst
Bristol-Myers Squibb
Senior Business Analyst
Job Description
Ability to work collaboratively with scientists, IT colleagues, vendors, and contractors. 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. 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) 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. Work-life programs include paid national holidays and optional holidays, Global Shutdown Days between Christmas and New Year's holiday, up to 120 hours of paid vacation, up to two (2) paid days to volunteer, sick time off, and summer hours flexibility.
Key Responsibilities
- 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
- 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
- Identify high-value GenAI opportunities (e.g., protocol drafting, experiment summarization, semantic search, assay troubleshooting assistants)
- Define guardrails, evaluation, and privacy controls for GenAI solutions
- Support pilots through scale-up for GenAI solutions
- Coordinate instrument data capture, ensure metadata/FAIR practices, and support interoperability with analytics/warehouse environments
- Manage backlogs and Jira boards
- Write user stories and acceptance criteria
- Plan and script User Acceptance Testing (UAT)
- Develop training materials and conduct structured end-user training
- Provide post-go-live support
- Partner with QA/Validation as applicable (e.g., 21 CFR Part 11, GxP/CLIA contexts), ensuring documentation, change control, and audit readiness
- Coordinate across Research, IT, Security, and vendors
- Contribute to roadmaps, SOWs, and service reviews to meet SLAs and continuous improvement goals
Required Qualifications
- Bachelor's or Master's degree in Life Sciences (e.g., Molecular Biology, Biochemistry, Bioengineering) or related field
- + years of experience as a Business Analyst (or Product BA) in life-sciences R&D
- + years of experience configuring/implementing ELN/LIMS (e.g., Benchling, Genedata, Dotmatics, Revvity, Sapio)
- -2+ years of experience enabling enterprise GenAI solutions for scientific knowledge or workflow assistance
Preferred Qualifications
- Professional certifications such as CBAP/CCBA, CSPO/PSPO, PMP
Skills Required
- Familiarity with ELN/LIMS configuration
- Knowledge of REST APIs/JSON and basic SQL
- Understanding of data models, ontologies, and controlled vocabularies
- Ability to translate complex scientific requirements into testable specifications and measurable outcomes
- Strong written and verbal communication skills for lab, IT, and leadership audiences
- Working understanding of 21 CFR Part 11, data integrity, and GxP/CLIA principles
- 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
Benefits & Perks
- Paid national holidays and optional holidays
- Global Shutdown Days between Christmas and New Year's holiday
- Up to 120 hours of paid vacation
- Up to two (2) paid days to volunteer
- Sick time off
- Summer hours flexibility
Locations
- Princeton NJ, United States
Salary
Salary not disclosed
Estimated Salary Rangemedium confidence
90,000 - 130,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Familiarity with ELN/LIMS configurationintermediate
- Knowledge of REST APIs/JSON and basic SQLintermediate
- Understanding of data models, ontologies, and controlled vocabulariesintermediate
- Ability to translate complex scientific requirements into testable specifications and measurable outcomesintermediate
- Strong written and verbal communication skills for lab, IT, and leadership audiencesintermediate
- Working understanding of 21 CFR Part 11, data integrity, and GxP/CLIA principlesintermediate
- Hands-on system administration including schema/registry design, workflows, templates, and data analysis configurationsintermediate
- Experience with instrument data capture and pipeline toolingintermediate
- Exposure to cloud analytics (e.g., Databricks/Snowflake/Power BI)intermediate
- Familiarity with vector search/embeddings and evaluation frameworks for GenAIintermediate
- Basic Python or notebooks for demos/data explorationintermediate
Required Qualifications
- Bachelor's or Master's degree in Life Sciences (e.g., Molecular Biology, Biochemistry, Bioengineering) or related field (experience)
- + years of experience as a Business Analyst (or Product BA) in life-sciences R&D (experience)
- + years of experience configuring/implementing ELN/LIMS (e.g., Benchling, Genedata, Dotmatics, Revvity, Sapio) (experience)
- -2+ years of experience enabling enterprise GenAI solutions for scientific knowledge or workflow assistance (experience)
Preferred Qualifications
- Professional certifications such as CBAP/CCBA, CSPO/PSPO, PMP (experience)
Responsibilities
- 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
- 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
- Identify high-value GenAI opportunities (e.g., protocol drafting, experiment summarization, semantic search, assay troubleshooting assistants)
- Define guardrails, evaluation, and privacy controls for GenAI solutions
- Support pilots through scale-up for GenAI solutions
- Coordinate instrument data capture, ensure metadata/FAIR practices, and support interoperability with analytics/warehouse environments
- Manage backlogs and Jira boards
- Write user stories and acceptance criteria
- Plan and script User Acceptance Testing (UAT)
- Develop training materials and conduct structured end-user training
- Provide post-go-live support
- Partner with QA/Validation as applicable (e.g., 21 CFR Part 11, GxP/CLIA contexts), ensuring documentation, change control, and audit readiness
- Coordinate across Research, IT, Security, and vendors
- Contribute to roadmaps, SOWs, and service reviews to meet SLAs and continuous improvement goals
Benefits
- general: Paid national holidays and optional holidays
- general: Global Shutdown Days between Christmas and New Year's holiday
- general: Up to 120 hours of paid vacation
- general: Up to two (2) paid days to volunteer
- general: Sick time off
- general: Summer hours flexibility
Tags & Categories
Senior Business Analyst
Bristol-Myers Squibb
Senior Business Analyst
Job Description
Ability to work collaboratively with scientists, IT colleagues, vendors, and contractors. 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. 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) 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. Work-life programs include paid national holidays and optional holidays, Global Shutdown Days between Christmas and New Year's holiday, up to 120 hours of paid vacation, up to two (2) paid days to volunteer, sick time off, and summer hours flexibility.
Key Responsibilities
- 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
- 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
- Identify high-value GenAI opportunities (e.g., protocol drafting, experiment summarization, semantic search, assay troubleshooting assistants)
- Define guardrails, evaluation, and privacy controls for GenAI solutions
- Support pilots through scale-up for GenAI solutions
- Coordinate instrument data capture, ensure metadata/FAIR practices, and support interoperability with analytics/warehouse environments
- Manage backlogs and Jira boards
- Write user stories and acceptance criteria
- Plan and script User Acceptance Testing (UAT)
- Develop training materials and conduct structured end-user training
- Provide post-go-live support
- Partner with QA/Validation as applicable (e.g., 21 CFR Part 11, GxP/CLIA contexts), ensuring documentation, change control, and audit readiness
- Coordinate across Research, IT, Security, and vendors
- Contribute to roadmaps, SOWs, and service reviews to meet SLAs and continuous improvement goals
Required Qualifications
- Bachelor's or Master's degree in Life Sciences (e.g., Molecular Biology, Biochemistry, Bioengineering) or related field
- + years of experience as a Business Analyst (or Product BA) in life-sciences R&D
- + years of experience configuring/implementing ELN/LIMS (e.g., Benchling, Genedata, Dotmatics, Revvity, Sapio)
- -2+ years of experience enabling enterprise GenAI solutions for scientific knowledge or workflow assistance
Preferred Qualifications
- Professional certifications such as CBAP/CCBA, CSPO/PSPO, PMP
Skills Required
- Familiarity with ELN/LIMS configuration
- Knowledge of REST APIs/JSON and basic SQL
- Understanding of data models, ontologies, and controlled vocabularies
- Ability to translate complex scientific requirements into testable specifications and measurable outcomes
- Strong written and verbal communication skills for lab, IT, and leadership audiences
- Working understanding of 21 CFR Part 11, data integrity, and GxP/CLIA principles
- 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
Benefits & Perks
- Paid national holidays and optional holidays
- Global Shutdown Days between Christmas and New Year's holiday
- Up to 120 hours of paid vacation
- Up to two (2) paid days to volunteer
- Sick time off
- Summer hours flexibility
Locations
- Princeton NJ, United States
Salary
Salary not disclosed
Estimated Salary Rangemedium confidence
90,000 - 130,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Familiarity with ELN/LIMS configurationintermediate
- Knowledge of REST APIs/JSON and basic SQLintermediate
- Understanding of data models, ontologies, and controlled vocabulariesintermediate
- Ability to translate complex scientific requirements into testable specifications and measurable outcomesintermediate
- Strong written and verbal communication skills for lab, IT, and leadership audiencesintermediate
- Working understanding of 21 CFR Part 11, data integrity, and GxP/CLIA principlesintermediate
- Hands-on system administration including schema/registry design, workflows, templates, and data analysis configurationsintermediate
- Experience with instrument data capture and pipeline toolingintermediate
- Exposure to cloud analytics (e.g., Databricks/Snowflake/Power BI)intermediate
- Familiarity with vector search/embeddings and evaluation frameworks for GenAIintermediate
- Basic Python or notebooks for demos/data explorationintermediate
Required Qualifications
- Bachelor's or Master's degree in Life Sciences (e.g., Molecular Biology, Biochemistry, Bioengineering) or related field (experience)
- + years of experience as a Business Analyst (or Product BA) in life-sciences R&D (experience)
- + years of experience configuring/implementing ELN/LIMS (e.g., Benchling, Genedata, Dotmatics, Revvity, Sapio) (experience)
- -2+ years of experience enabling enterprise GenAI solutions for scientific knowledge or workflow assistance (experience)
Preferred Qualifications
- Professional certifications such as CBAP/CCBA, CSPO/PSPO, PMP (experience)
Responsibilities
- 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
- 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
- Identify high-value GenAI opportunities (e.g., protocol drafting, experiment summarization, semantic search, assay troubleshooting assistants)
- Define guardrails, evaluation, and privacy controls for GenAI solutions
- Support pilots through scale-up for GenAI solutions
- Coordinate instrument data capture, ensure metadata/FAIR practices, and support interoperability with analytics/warehouse environments
- Manage backlogs and Jira boards
- Write user stories and acceptance criteria
- Plan and script User Acceptance Testing (UAT)
- Develop training materials and conduct structured end-user training
- Provide post-go-live support
- Partner with QA/Validation as applicable (e.g., 21 CFR Part 11, GxP/CLIA contexts), ensuring documentation, change control, and audit readiness
- Coordinate across Research, IT, Security, and vendors
- Contribute to roadmaps, SOWs, and service reviews to meet SLAs and continuous improvement goals
Benefits
- general: Paid national holidays and optional holidays
- general: Global Shutdown Days between Christmas and New Year's holiday
- general: Up to 120 hours of paid vacation
- general: Up to two (2) paid days to volunteer
- general: Sick time off
- general: Summer hours flexibility
Tags & Categories