This role pays less than
97%
of similar roles. Most pay
$118,337–$181,300
— the shaded band above.
At the midpoint, this role pays about
$93k
versus about
$150k
for comparable roles.
Based on 240 similar postings.
Employer
About Bristol Myers Squibb
Bristol Myers Squibb is a global biopharmaceutical company committed to discovering, developing and delivering innovative medicines to patients.
Bristol Myers Squibb currently has
37 open roles
on FindRole.
Listed pay typically runs
$130,000–$166,654
across 31 roles with salary data.
Discovery Research Domain Analyst, IT Business Analyst joins the Molecular Invention Data Product Team to support innovation in early drug discovery through data. This role involves collaborating with research stakeholders to understand scientific workflows, capturing requirements, and translating them into user stories and acceptance criteria for engineering teams. The analyst will manage demand intake, map workflows, identify friction points, and maintain field-level metadata and business glossaries to ensure FAIR-aligned practices. Key responsibilities include coordinating data collection, testing, and validation with Data Engineers while ensuring alignment of identifiers across Molecular Invention, Early Biology, and Preclinical Research domains. Candidates should possess a background in life sciences or informatics and demonstrate skills in data modeling, governance, and analytics. The role addresses the challenge of creating predictive and AI-informed research capabilities within pharmaceutical R&D environments to improve downstream integration and analysis.
Translate scientific research needs into clear user stories, acceptance criteria, and requirements for IT and engineering teams.
Map data workflows to identify friction points and escalate risks or open questions to product leads.
Collaborate with Data Engineers to support data collection, testing, validation, and continuous improvement of data products.
Maintain field-level metadata, business glossaries, and documentation to support FAIR-aligned data practices.
Align identifiers, terminology, and definitions across multiple data sources to improve downstream integration and analytics.
Represent researcher context in product discussions to ensure delivered capabilities meet specific scientific needs.
Communicate with both scientific and technical audiences to clarify expectations and summarize decisions or risks.
What we're looking for
Bachelor's or Master's degree in a relevant life sciences, informatics, data, or technical discipline; advanced degree is preferred.
Practical experience or strong academic grounding in early life sciences domains such as Biologics, Sequencing, Protein Engineering, Chemistry, or related fields.
2+ years of experience in IT, informatics, data analysis, business analysis, or a scientific data-focused role (graduate research or internship may be considered).
Familiarity with Research workflows in pharmaceutical or biotech settings.
Analytical problem-solving skills to organize information, identify patterns, and document issues.
Ability to communicate complex ideas clearly to both scientific and technical audiences.
Familiarity with data product development, data modeling, data governance, analytics, or modern research data platforms.
IIBA Certification or similar Business Analysis Certification (preferred).