Discovery Research Domain Expert, IT Business Analyst
Bristol-Myers Squibb
Discovery Research Domain Expert, IT Business Analyst
Job Description
Partner with Research stakeholders (Biologics, Discovery Biotherapeutics, Next Gen Sequencing, Thematic Research Centers, Chemistry, DMPK, etc.) to understand data workflows and define business requirements. Translate scientific needs into technical specifications, user stories, and actionable requirements for IT and engineering teams. Shape and prioritize demand by mapping end-to-end processes, identifying root causes of friction, and focusing on business value creation. Serve as the “voice of the scientist,” ensuring product teams deliver solutions that reflect real-world context and meet evolving needs. Collaborate with Data Engineers to collect, test, validate, and continuously enhance data products for usability and quality. Develop and maintain field-level metadata, business glossaries, and contribute to FAIR-aligned practices (Findable, Accessible, Interoperable, Reusable). Support scientific alignment of identifiers, terminology, and definitions across MI data sources to enhance downstream integration and analytics. Lead stakeholder assessments to anticipate friction, clarify expectations, and build sustained trust in data product capabilities. Bring an external perspective by monitoring industry trends and promoting novel approaches to data challenges. Communicate clearly and with influence—bridging scientific, technical, and strategic conversations across diverse audiences. Exhibit a growth mindset, demonstrating ownership for ongoing development in Business Analysis, AI/ML, and Pharmaceutical R&D. 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. B.S., M.S., or Ph.D. in a relevant life sciences, informatics, or technical discipline. Direct experience in early life sciences domains, with explicit subject matter expertise in Molecular Invention research (e.g., Biologics, Sequencing, Protein Engineering, Antibody Discovery, Chemistry, etc.). Familiarity with Research workflows in pharmaceutical or biotech settings. 5+ years of experience in IT, informatics, or data-focused role within a scientific context. Proven ability to collaborate effectively across scientific and technical teams. Strong analytical and systems thinking skills with the ability to manage ambiguity. Ability to learn new tools and adapt in a dynamic environment. IIBA Certification or similar Business Analysis Certification, a strong plus. Strong commitment to a career in technology with a passion for healthcare. Analytical thinker with strong communication and collaboration skills, able to effectively communicate complex ideas and concepts Excellent stakeholder engagement skills, with a track record of influencing without authority. Creative problem-solver who seeks to challenge norms and explore innovative solutions. Familiarity with data product development, data modeling, data mesh architecture, data governance, or analytics.
Key Responsibilities
- Partner with Research stakeholders to understand data workflows and define business requirements
- Translate scientific needs into technical specifications, user stories, and actionable requirements for IT and engineering teams
- Shape and prioritize demand by mapping end-to-end processes, identifying root causes of friction, and focusing on business value creation
- Serve as the 'voice of the scientist,' ensuring product teams deliver solutions that reflect real-world context and meet evolving needs
- Collaborate with Data Engineers to collect, test, validate, and continuously enhance data products for usability and quality
- Develop and maintain field-level metadata, business glossaries, and contribute to FAIR-aligned practices (Findable, Accessible, Interoperable, Reusable)
- Support scientific alignment of identifiers, terminology, and definitions across MI data sources to enhance downstream integration and analytics
- Lead stakeholder assessments to anticipate friction, clarify expectations, and build sustained trust in data product capabilities
- Bring an external perspective by monitoring industry trends and promoting novel approaches to data challenges
- Communicate clearly and with influence—bridging scientific, technical, and strategic conversations across diverse audiences
- Exhibit a growth mindset, demonstrating ownership for ongoing development in Business Analysis, AI/ML, and Pharmaceutical R&D
Required Qualifications
- B.S., M.S., or Ph.D. in a relevant life sciences, informatics, or technical discipline
- Direct experience in early life sciences domains, with explicit subject matter expertise in Molecular Invention research (e.g., Biologics, Sequencing, Protein Engineering, Antibody Discovery, Chemistry, etc.)
- + years of experience in IT, informatics, or data-focused role within a scientific context
- Proven ability to collaborate effectively across scientific and technical teams
Preferred Qualifications
- IIBA Certification or similar Business Analysis Certification
- Familiarity with data product development, data modeling, data mesh architecture, data governance, or analytics
- Familiarity with Research workflows in pharmaceutical or biotech settings
Skills Required
- Strong analytical and systems thinking skills with the ability to manage ambiguity
- Ability to learn new tools and adapt in a dynamic environment
- Strong commitment to a career in technology with a passion for healthcare
- Analytical thinker with strong communication and collaboration skills, able to effectively communicate complex ideas and concepts
- Excellent stakeholder engagement skills, with a track record of influencing without authority
- Creative problem-solver who seeks to challenge norms and explore innovative solutions
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
- Brisbane CA, United States
- Cambridge Crossing MA, United States
- San Diego CA, United States
Salary
Estimated Salary Rangemedium confidence
100,000 - 150,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Strong analytical and systems thinking skills with the ability to manage ambiguityintermediate
- Ability to learn new tools and adapt in a dynamic environmentintermediate
- Strong commitment to a career in technology with a passion for healthcareintermediate
- Analytical thinker with strong communication and collaboration skills, able to effectively communicate complex ideas and conceptsintermediate
- Excellent stakeholder engagement skills, with a track record of influencing without authorityintermediate
- Creative problem-solver who seeks to challenge norms and explore innovative solutionsintermediate
Required Qualifications
- B.S., M.S., or Ph.D. in a relevant life sciences, informatics, or technical discipline (experience)
- Direct experience in early life sciences domains, with explicit subject matter expertise in Molecular Invention research (e.g., Biologics, Sequencing, Protein Engineering, Antibody Discovery, Chemistry, etc.) (experience)
- + years of experience in IT, informatics, or data-focused role within a scientific context (experience)
- Proven ability to collaborate effectively across scientific and technical teams (experience)
Preferred Qualifications
- IIBA Certification or similar Business Analysis Certification (experience)
- Familiarity with data product development, data modeling, data mesh architecture, data governance, or analytics (experience)
- Familiarity with Research workflows in pharmaceutical or biotech settings (experience)
Responsibilities
- Partner with Research stakeholders to understand data workflows and define business requirements
- Translate scientific needs into technical specifications, user stories, and actionable requirements for IT and engineering teams
- Shape and prioritize demand by mapping end-to-end processes, identifying root causes of friction, and focusing on business value creation
- Serve as the 'voice of the scientist,' ensuring product teams deliver solutions that reflect real-world context and meet evolving needs
- Collaborate with Data Engineers to collect, test, validate, and continuously enhance data products for usability and quality
- Develop and maintain field-level metadata, business glossaries, and contribute to FAIR-aligned practices (Findable, Accessible, Interoperable, Reusable)
- Support scientific alignment of identifiers, terminology, and definitions across MI data sources to enhance downstream integration and analytics
- Lead stakeholder assessments to anticipate friction, clarify expectations, and build sustained trust in data product capabilities
- Bring an external perspective by monitoring industry trends and promoting novel approaches to data challenges
- Communicate clearly and with influence—bridging scientific, technical, and strategic conversations across diverse audiences
- Exhibit a growth mindset, demonstrating ownership for ongoing development in Business Analysis, AI/ML, and Pharmaceutical R&D
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
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Answer 10 quick questions to check your fit for Discovery Research Domain Expert, IT Business Analyst @ Bristol-Myers Squibb.
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Discovery Research Domain Expert, IT Business Analyst
Bristol-Myers Squibb
Discovery Research Domain Expert, IT Business Analyst
Job Description
Partner with Research stakeholders (Biologics, Discovery Biotherapeutics, Next Gen Sequencing, Thematic Research Centers, Chemistry, DMPK, etc.) to understand data workflows and define business requirements. Translate scientific needs into technical specifications, user stories, and actionable requirements for IT and engineering teams. Shape and prioritize demand by mapping end-to-end processes, identifying root causes of friction, and focusing on business value creation. Serve as the “voice of the scientist,” ensuring product teams deliver solutions that reflect real-world context and meet evolving needs. Collaborate with Data Engineers to collect, test, validate, and continuously enhance data products for usability and quality. Develop and maintain field-level metadata, business glossaries, and contribute to FAIR-aligned practices (Findable, Accessible, Interoperable, Reusable). Support scientific alignment of identifiers, terminology, and definitions across MI data sources to enhance downstream integration and analytics. Lead stakeholder assessments to anticipate friction, clarify expectations, and build sustained trust in data product capabilities. Bring an external perspective by monitoring industry trends and promoting novel approaches to data challenges. Communicate clearly and with influence—bridging scientific, technical, and strategic conversations across diverse audiences. Exhibit a growth mindset, demonstrating ownership for ongoing development in Business Analysis, AI/ML, and Pharmaceutical R&D. 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. B.S., M.S., or Ph.D. in a relevant life sciences, informatics, or technical discipline. Direct experience in early life sciences domains, with explicit subject matter expertise in Molecular Invention research (e.g., Biologics, Sequencing, Protein Engineering, Antibody Discovery, Chemistry, etc.). Familiarity with Research workflows in pharmaceutical or biotech settings. 5+ years of experience in IT, informatics, or data-focused role within a scientific context. Proven ability to collaborate effectively across scientific and technical teams. Strong analytical and systems thinking skills with the ability to manage ambiguity. Ability to learn new tools and adapt in a dynamic environment. IIBA Certification or similar Business Analysis Certification, a strong plus. Strong commitment to a career in technology with a passion for healthcare. Analytical thinker with strong communication and collaboration skills, able to effectively communicate complex ideas and concepts Excellent stakeholder engagement skills, with a track record of influencing without authority. Creative problem-solver who seeks to challenge norms and explore innovative solutions. Familiarity with data product development, data modeling, data mesh architecture, data governance, or analytics.
Key Responsibilities
- Partner with Research stakeholders to understand data workflows and define business requirements
- Translate scientific needs into technical specifications, user stories, and actionable requirements for IT and engineering teams
- Shape and prioritize demand by mapping end-to-end processes, identifying root causes of friction, and focusing on business value creation
- Serve as the 'voice of the scientist,' ensuring product teams deliver solutions that reflect real-world context and meet evolving needs
- Collaborate with Data Engineers to collect, test, validate, and continuously enhance data products for usability and quality
- Develop and maintain field-level metadata, business glossaries, and contribute to FAIR-aligned practices (Findable, Accessible, Interoperable, Reusable)
- Support scientific alignment of identifiers, terminology, and definitions across MI data sources to enhance downstream integration and analytics
- Lead stakeholder assessments to anticipate friction, clarify expectations, and build sustained trust in data product capabilities
- Bring an external perspective by monitoring industry trends and promoting novel approaches to data challenges
- Communicate clearly and with influence—bridging scientific, technical, and strategic conversations across diverse audiences
- Exhibit a growth mindset, demonstrating ownership for ongoing development in Business Analysis, AI/ML, and Pharmaceutical R&D
Required Qualifications
- B.S., M.S., or Ph.D. in a relevant life sciences, informatics, or technical discipline
- Direct experience in early life sciences domains, with explicit subject matter expertise in Molecular Invention research (e.g., Biologics, Sequencing, Protein Engineering, Antibody Discovery, Chemistry, etc.)
- + years of experience in IT, informatics, or data-focused role within a scientific context
- Proven ability to collaborate effectively across scientific and technical teams
Preferred Qualifications
- IIBA Certification or similar Business Analysis Certification
- Familiarity with data product development, data modeling, data mesh architecture, data governance, or analytics
- Familiarity with Research workflows in pharmaceutical or biotech settings
Skills Required
- Strong analytical and systems thinking skills with the ability to manage ambiguity
- Ability to learn new tools and adapt in a dynamic environment
- Strong commitment to a career in technology with a passion for healthcare
- Analytical thinker with strong communication and collaboration skills, able to effectively communicate complex ideas and concepts
- Excellent stakeholder engagement skills, with a track record of influencing without authority
- Creative problem-solver who seeks to challenge norms and explore innovative solutions
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
- Brisbane CA, United States
- Cambridge Crossing MA, United States
- San Diego CA, United States
Salary
Estimated Salary Rangemedium confidence
100,000 - 150,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Strong analytical and systems thinking skills with the ability to manage ambiguityintermediate
- Ability to learn new tools and adapt in a dynamic environmentintermediate
- Strong commitment to a career in technology with a passion for healthcareintermediate
- Analytical thinker with strong communication and collaboration skills, able to effectively communicate complex ideas and conceptsintermediate
- Excellent stakeholder engagement skills, with a track record of influencing without authorityintermediate
- Creative problem-solver who seeks to challenge norms and explore innovative solutionsintermediate
Required Qualifications
- B.S., M.S., or Ph.D. in a relevant life sciences, informatics, or technical discipline (experience)
- Direct experience in early life sciences domains, with explicit subject matter expertise in Molecular Invention research (e.g., Biologics, Sequencing, Protein Engineering, Antibody Discovery, Chemistry, etc.) (experience)
- + years of experience in IT, informatics, or data-focused role within a scientific context (experience)
- Proven ability to collaborate effectively across scientific and technical teams (experience)
Preferred Qualifications
- IIBA Certification or similar Business Analysis Certification (experience)
- Familiarity with data product development, data modeling, data mesh architecture, data governance, or analytics (experience)
- Familiarity with Research workflows in pharmaceutical or biotech settings (experience)
Responsibilities
- Partner with Research stakeholders to understand data workflows and define business requirements
- Translate scientific needs into technical specifications, user stories, and actionable requirements for IT and engineering teams
- Shape and prioritize demand by mapping end-to-end processes, identifying root causes of friction, and focusing on business value creation
- Serve as the 'voice of the scientist,' ensuring product teams deliver solutions that reflect real-world context and meet evolving needs
- Collaborate with Data Engineers to collect, test, validate, and continuously enhance data products for usability and quality
- Develop and maintain field-level metadata, business glossaries, and contribute to FAIR-aligned practices (Findable, Accessible, Interoperable, Reusable)
- Support scientific alignment of identifiers, terminology, and definitions across MI data sources to enhance downstream integration and analytics
- Lead stakeholder assessments to anticipate friction, clarify expectations, and build sustained trust in data product capabilities
- Bring an external perspective by monitoring industry trends and promoting novel approaches to data challenges
- Communicate clearly and with influence—bridging scientific, technical, and strategic conversations across diverse audiences
- Exhibit a growth mindset, demonstrating ownership for ongoing development in Business Analysis, AI/ML, and Pharmaceutical R&D
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
Answer 10 quick questions to check your fit for Discovery Research Domain Expert, IT Business Analyst @ Bristol-Myers Squibb.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs