Discovery Research Domain Analyst, IT Business Analyst
for section headings. Use - for any list of duties/requirements/benefits. Use
for prose.
We must not invent or summarize away detail. So we need to keep details like specific responsibilities bullet points.
Let's extract responsibilities list:
- Work with Research stakeholders to understand scientific data workflows, capture needs, and document business requirements with guidance from senior team members.
- Translate scientific needs into clear user stories, acceptance criteria, process notes, and requirements for IT and engineering teams.
- Support demand intake and analysis by mapping workflows, identifying friction points, and escalating risks or open questions to product and business analysis leads.
- Represent researcher context in product discussions by sharing observations, clarifying use cases, and helping validate whether delivered capabilities meet defined needs.
- Collaborate with Data Engineers to support data collection, testing, validation, issue tracking, and continuous improvement of data products.
- Maintain field-level metadata, business glossaries, and documentation that support FAIR-aligned practices.
- Support alignment of identifiers, terminology, and definitions across MI data sources to improve downstream integration and analytics.
- Participate in stakeholder conversations, summarize feedback, clarify expectations, and help build trust in data product capabilities.
- Stay aware of relevant industry practices and emerging approaches to scientific data challenges, sharing observations with the team as appropriate.
- Communicate clearly with scientific and technical audiences, escalating ambiguity and summarizing decisions, risks, and follow-ups.
- Demonstrate a growth mindset and ownership for developing business analysis, data literacy, AI/ML awareness, and Pharmaceutical R&D knowledge.
Qualifications list:
- B.S. or M.S. in a relevant life sciences, informatics, data, or technical discipline; advanced degree a plus.
- Practical experience or strong academic grounding in early life sciences domains, with interest in Molecular Invention research areas such as Biologics, Sequencing, Protein Engineering, Antibody Discovery, Chemistry, or related fields.
- Familiarity with Research workflows in pharmaceutical or biotech settings.
- 2+ years of experience in IT, informatics, data analysis, business analysis, or a scientific data-focused role; relevant graduate research or internship experience may be considered.
- Ability to collaborate effectively with scientific and technical teams while following established processes and seeking guidance when needed.
- Analytical problem-solving skills with the ability to organize information, identify patterns, document issues, and recommend practical next steps.
- Ability to learn new tools and adapt in a dynamic environment.
- IIBA Certification or similar Business Analysis Certification is a plus.
Desired Skills list (maybe under Skills heading):
- 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.
- Good stakeholder engagement skills, with the ability to listen, ask clarifying questions, document needs, and build alignment in straightforward to moderately complex situations.
- Curious problem-solver who contributes ideas for improving workflows, documentation, data quality, and user experience.
- Familiarity with data product development, data modeling, data governance, analytics, or modern research data platforms.
- We hire for skills and capabilities, not just credentials – if this role excites you, but doesn’t perfectly match your resume, we encourage you to apply anyway. (This is a statement, maybe include as p.)
Benefits: The posting includes a Benefits paragraph describing comprehensive benefit plans, wellbeing support, retirement, financial protection, insurance, Flexible Time Off (FTO) for US-based exempt employees, 11 paid company holidays, etc. Also non-exempt employees get 160 hours vacation, etc. Also paid sick leave, volunteer days, summer hours flexibility, leaves of absence, Global Shutdown. Also link to benefits page.
We need to keep all that detail. Could be a
- list but it's prose; we can keep as
but also could break into list. The instruction: Use
- for any list of duties/requirements/benefits. So we should turn benefits into list items. Let's extract bullet points:
- Comprehensive benefit plans – including wellbeing support, retirement and financial protection benefits, and insurance offerings (medical, dental, vision, life and disability).
- U.S.-based exempt employees are eligible for Flexible Time Off (FTO), which provides paid time off without a set accrual limit, subject to manager approval, along with 11 paid company holidays each year.
- Non-exempt employees, RayzeBio employees, and employees located in Puerto Rico receive 160 hours of paid vacation annually for new hires (subject to manager approval), 11 paid company holidays, and 3 optional holidays.
- Depending on eligibility, employees may also have access to additional time-off benefits, including paid sick leave, up to two paid volunteer days per year, summer hours flexibility, and leaves of absence for medical, personal, parental, caregiver, bereavement, or military needs.
- Eligible employees also enjoy an annual Global Shutdown between Christmas Day and New Year's Day.
- U.S.-based job seekers can explore full benefit offerings at https://careers.bms.com/benefits
We could keep the link as part of a
maybe.
Pay section: Compensation Overview with ranges for Cambridge Crossing and Princeton. Also note starting pay range for full-time employees, eligibility for discretionary incentive cash and stock, etc. We'll keep as
maybe with details.
We need to avoid headings with filler. So we will have sections: About the role (intro paragraph), Responsibilities, Qualifications, Skills (Desired Skills), Benefits, Pay.
We must not include Schedule.
Now produce HTML fragment.
Let's craft:
About the role
At Bristol Myers Squibb, our employees often ask, “Who are you working for?”—a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to discover, develop, and deliver innovative medicines to prevail over serious diseases. We offer uniquely interesting and meaningful work, opportunities for growth, and a supportive environment that values inclusion, wellbeing, flexibility, and comprehensive benefits. This is work that transforms the lives of patients, and the careers of those who do it. Bristol Myers Squibb is seeking a curious, collaborative, and detail-oriented individual to support innovation in early drug discovery through data. As part of the Molecular Invention Data Product Team, this role will contribute to the analysis, documentation, testing, and improvement of data solutions that enable predictive and AI-informed research across Drug Discovery domains, including Molecular Invention (MI), Early Biology, and Preclinical Research.
Responsibilities
- Work with Research stakeholders to understand scientific data workflows, capture needs, and document business requirements with guidance from senior team members.
- Translate scientific needs into clear user stories, acceptance criteria, process notes, and requirements for IT and engineering teams.
- Support demand intake and analysis by mapping workflows, identifying friction points, and escalating risks or open questions to product and business analysis leads.
- Represent researcher context in product discussions by sharing observations, clarifying use cases, and helping validate whether delivered capabilities meet defined needs.
- Collaborate with Data Engineers to support data collection, testing, validation, issue tracking, and continuous improvement of data products.
- Maintain field-level metadata, business glossaries, and documentation that support FAIR-aligned practices.
- Support alignment of identifiers, terminology, and definitions across MI data sources to improve downstream integration and analytics.
- Participate in stakeholder conversations, summarize feedback, clarify expectations, and help build trust in data product capabilities.
- Stay aware of relevant industry practices and emerging approaches to scientific data challenges, sharing observations with the team as appropriate.
- Communicate clearly with scientific and technical audiences, escalating ambiguity and summarizing decisions, risks, and follow-ups.
- Demonstrate a growth mindset and ownership for developing business analysis, data literacy, AI/ML awareness, and Pharmaceutical R&D knowledge.
Qualifications
- B.S. or M.S. in a relevant life sciences, informatics, data, or technical discipline; advanced degree a plus.
- Practical experience or strong academic grounding in early life sciences domains, with interest in Molecular Invention research areas such as Biologics, Sequencing, Protein Engineering, Antibody Discovery, Chemistry, or related fields.
- Familiarity with Research workflows in pharmaceutical or biotech settings.
- 2+ years of experience in IT, informatics, data analysis, business analysis, or a scientific data-focused role; relevant graduate research or internship experience may be considered.
- Ability to collaborate effectively with scientific and technical teams while following established processes and seeking guidance when needed.
- Analytical problem-solving skills with the ability to organize information, identify patterns, document issues, and recommend practical next steps.
- Ability to learn new tools and adapt in a dynamic environment.
- IIBA Certification or similar Business Analysis Certification is a plus.
Skills
- 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.
- Good stakeholder engagement skills, with the ability to listen, ask clarifying questions, document needs, and build alignment in straightforward to moderately complex situations.
- Curious problem-solver who contributes ideas for improving workflows, documentation, data quality, and user experience.
- Familiarity with data product development, data modeling, data governance, analytics, or modern research data platforms.
- We hire for skills and capabilities, not just credentials – if this role excites you, but doesn’t perfectly match your resume, we encourage you to apply anyway.
Benefits
- Comprehensive benefit plans – including wellbeing support, retirement and financial protection benefits, and insurance offerings (medical, dental, vision, life and disability).
- U.S.-based exempt employees are eligible for Flexible Time Off (FTO), which provides paid time off without a set accrual limit, subject to manager approval, along with 11 paid company holidays each year.
- Non-ex
for prose. We must not invent or summarize away detail. So we need to keep details like specific responsibilities bullet points. Let's extract responsibilities list: - Work with Research stakeholders to understand scientific data workflows, capture needs, and document business requirements with guidance from senior team members. - Translate scientific needs into clear user stories, acceptance criteria, process notes, and requirements for IT and engineering teams. - Support demand intake and analysis by mapping workflows, identifying friction points, and escalating risks or open questions to product and business analysis leads. - Represent researcher context in product discussions by sharing observations, clarifying use cases, and helping validate whether delivered capabilities meet defined needs. - Collaborate with Data Engineers to support data collection, testing, validation, issue tracking, and continuous improvement of data products. - Maintain field-level metadata, business glossaries, and documentation that support FAIR-aligned practices. - Support alignment of identifiers, terminology, and definitions across MI data sources to improve downstream integration and analytics. - Participate in stakeholder conversations, summarize feedback, clarify expectations, and help build trust in data product capabilities. - Stay aware of relevant industry practices and emerging approaches to scientific data challenges, sharing observations with the team as appropriate. - Communicate clearly with scientific and technical audiences, escalating ambiguity and summarizing decisions, risks, and follow-ups. - Demonstrate a growth mindset and ownership for developing business analysis, data literacy, AI/ML awareness, and Pharmaceutical R&D knowledge. Qualifications list: - B.S. or M.S. in a relevant life sciences, informatics, data, or technical discipline; advanced degree a plus. - Practical experience or strong academic grounding in early life sciences domains, with interest in Molecular Invention research areas such as Biologics, Sequencing, Protein Engineering, Antibody Discovery, Chemistry, or related fields. - Familiarity with Research workflows in pharmaceutical or biotech settings. - 2+ years of experience in IT, informatics, data analysis, business analysis, or a scientific data-focused role; relevant graduate research or internship experience may be considered. - Ability to collaborate effectively with scientific and technical teams while following established processes and seeking guidance when needed. - Analytical problem-solving skills with the ability to organize information, identify patterns, document issues, and recommend practical next steps. - Ability to learn new tools and adapt in a dynamic environment. - IIBA Certification or similar Business Analysis Certification is a plus. Desired Skills list (maybe under Skills heading): - 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. - Good stakeholder engagement skills, with the ability to listen, ask clarifying questions, document needs, and build alignment in straightforward to moderately complex situations. - Curious problem-solver who contributes ideas for improving workflows, documentation, data quality, and user experience. - Familiarity with data product development, data modeling, data governance, analytics, or modern research data platforms. - We hire for skills and capabilities, not just credentials – if this role excites you, but doesn’t perfectly match your resume, we encourage you to apply anyway. (This is a statement, maybe include as p.) Benefits: The posting includes a Benefits paragraph describing comprehensive benefit plans, wellbeing support, retirement, financial protection, insurance, Flexible Time Off (FTO) for US-based exempt employees, 11 paid company holidays, etc. Also non-exempt employees get 160 hours vacation, etc. Also paid sick leave, volunteer days, summer hours flexibility, leaves of absence, Global Shutdown. Also link to benefits page. We need to keep all that detail. Could be a
- list but it's prose; we can keep as
but also could break into list. The instruction: Use
- for any list of duties/requirements/benefits. So we should turn benefits into list items. Let's extract bullet points:
- Comprehensive benefit plans – including wellbeing support, retirement and financial protection benefits, and insurance offerings (medical, dental, vision, life and disability).
- U.S.-based exempt employees are eligible for Flexible Time Off (FTO), which provides paid time off without a set accrual limit, subject to manager approval, along with 11 paid company holidays each year.
- Non-exempt employees, RayzeBio employees, and employees located in Puerto Rico receive 160 hours of paid vacation annually for new hires (subject to manager approval), 11 paid company holidays, and 3 optional holidays.
- Depending on eligibility, employees may also have access to additional time-off benefits, including paid sick leave, up to two paid volunteer days per year, summer hours flexibility, and leaves of absence for medical, personal, parental, caregiver, bereavement, or military needs.
- Eligible employees also enjoy an annual Global Shutdown between Christmas Day and New Year's Day.
- U.S.-based job seekers can explore full benefit offerings at https://careers.bms.com/benefits
We could keep the link as part of a
maybe. Pay section: Compensation Overview with ranges for Cambridge Crossing and Princeton. Also note starting pay range for full-time employees, eligibility for discretionary incentive cash and stock, etc. We'll keep as
maybe with details. We need to avoid headings with filler. So we will have sections: About the role (intro paragraph), Responsibilities, Qualifications, Skills (Desired Skills), Benefits, Pay. We must not include Schedule. Now produce HTML fragment. Let's craft:
About the role
At Bristol Myers Squibb, our employees often ask, “Who are you working for?”—a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to discover, develop, and deliver innovative medicines to prevail over serious diseases. We offer uniquely interesting and meaningful work, opportunities for growth, and a supportive environment that values inclusion, wellbeing, flexibility, and comprehensive benefits. This is work that transforms the lives of patients, and the careers of those who do it. Bristol Myers Squibb is seeking a curious, collaborative, and detail-oriented individual to support innovation in early drug discovery through data. As part of the Molecular Invention Data Product Team, this role will contribute to the analysis, documentation, testing, and improvement of data solutions that enable predictive and AI-informed research across Drug Discovery domains, including Molecular Invention (MI), Early Biology, and Preclinical Research.
Responsibilities
- Work with Research stakeholders to understand scientific data workflows, capture needs, and document business requirements with guidance from senior team members.
- Translate scientific needs into clear user stories, acceptance criteria, process notes, and requirements for IT and engineering teams.
- Support demand intake and analysis by mapping workflows, identifying friction points, and escalating risks or open questions to product and business analysis leads.
- Represent researcher context in product discussions by sharing observations, clarifying use cases, and helping validate whether delivered capabilities meet defined needs.
- Collaborate with Data Engineers to support data collection, testing, validation, issue tracking, and continuous improvement of data products.
- Maintain field-level metadata, business glossaries, and documentation that support FAIR-aligned practices.
- Support alignment of identifiers, terminology, and definitions across MI data sources to improve downstream integration and analytics.
- Participate in stakeholder conversations, summarize feedback, clarify expectations, and help build trust in data product capabilities.
- Stay aware of relevant industry practices and emerging approaches to scientific data challenges, sharing observations with the team as appropriate.
- Communicate clearly with scientific and technical audiences, escalating ambiguity and summarizing decisions, risks, and follow-ups.
- Demonstrate a growth mindset and ownership for developing business analysis, data literacy, AI/ML awareness, and Pharmaceutical R&D knowledge.
Qualifications
- B.S. or M.S. in a relevant life sciences, informatics, data, or technical discipline; advanced degree a plus.
- Practical experience or strong academic grounding in early life sciences domains, with interest in Molecular Invention research areas such as Biologics, Sequencing, Protein Engineering, Antibody Discovery, Chemistry, or related fields.
- Familiarity with Research workflows in pharmaceutical or biotech settings.
- 2+ years of experience in IT, informatics, data analysis, business analysis, or a scientific data-focused role; relevant graduate research or internship experience may be considered.
- Ability to collaborate effectively with scientific and technical teams while following established processes and seeking guidance when needed.
- Analytical problem-solving skills with the ability to organize information, identify patterns, document issues, and recommend practical next steps.
- Ability to learn new tools and adapt in a dynamic environment.
- IIBA Certification or similar Business Analysis Certification is a plus.
Skills
- 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.
- Good stakeholder engagement skills, with the ability to listen, ask clarifying questions, document needs, and build alignment in straightforward to moderately complex situations.
- Curious problem-solver who contributes ideas for improving workflows, documentation, data quality, and user experience.
- Familiarity with data product development, data modeling, data governance, analytics, or modern research data platforms.
- We hire for skills and capabilities, not just credentials – if this role excites you, but doesn’t perfectly match your resume, we encourage you to apply anyway.
Benefits
- Comprehensive benefit plans – including wellbeing support, retirement and financial protection benefits, and insurance offerings (medical, dental, vision, life and disability).
- U.S.-based exempt employees are eligible for Flexible Time Off (FTO), which provides paid time off without a set accrual limit, subject to manager approval, along with 11 paid company holidays each year.
- Non-ex
- for any list of duties/requirements/benefits. So we should turn benefits into list items. Let's extract bullet points:
- Comprehensive benefit plans – including wellbeing support, retirement and financial protection benefits, and insurance offerings (medical, dental, vision, life and disability).
- U.S.-based exempt employees are eligible for Flexible Time Off (FTO), which provides paid time off without a set accrual limit, subject to manager approval, along with 11 paid company holidays each year.
- Non-exempt employees, RayzeBio employees, and employees located in Puerto Rico receive 160 hours of paid vacation annually for new hires (subject to manager approval), 11 paid company holidays, and 3 optional holidays.
- Depending on eligibility, employees may also have access to additional time-off benefits, including paid sick leave, up to two paid volunteer days per year, summer hours flexibility, and leaves of absence for medical, personal, parental, caregiver, bereavement, or military needs.
- Eligible employees also enjoy an annual Global Shutdown between Christmas Day and New Year's Day.
- U.S.-based job seekers can explore full benefit offerings at https://careers.bms.com/benefits
We could keep the link as part of a