Discovery Data Product Analyst (Research & IT)

Bristol-Myers Squibb; Princeton (NJ); On-site; USD 76,000 - 92,000; Full time

Benefits offered by this job

Flexible Time Off

11 paid holidays

Global Shutdown between Christmas and

Comprehensive benefits

Job summary

Bristol Myers Squibb is seeking a curious, collaborative, and detail-oriented individual to support innovation in early drug discovery through data. Based in Princeton, NJ, you will analyze scientific data workflows, translate needs into clear user stories, and work with IT and engineering to deliver data solutions across MI, Early Biology, and Preclinical Research.

You will collaborate with Research stakeholders, document requirements, and maintain metadata and glossaries to ensure FAIR-aligned

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.

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.

Skills

Analytical problem-solving

Communication

Collaboration

Adaptability

Education

B.S./M.S. in life sciences or informatics

Job description

Bristol Myers Squibb is seeking a curious, collaborative, and detail-oriented individual to support innovation in early drug discovery through data. Based in Princeton, NJ, you will analyze scientific data workflows, translate needs into clear user stories, and work with IT and engineering to deliver data solutions across MI, Early Biology, and Preclinical Research.

You will collaborate with Research stakeholders, document requirements, and maintain metadata and glossaries to ensure FAIR-aligned