Bristol Myers Squibb is seeking to accelerate innovation in early drug discovery through data by defining, shaping, and delivering scalable solutions that enable predictive, AI-powered research across Drug Discovery domains.
Requirements
- 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.
- Familiarity with data product development, data modeling, data mesh architecture, data governance, or analytics.
Responsibilities
- Translate scientific needs into technical specifications, user stories, and actionable requirements for IT and engineering teams.
- 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.
- 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.
- Lead stakeholder assessments to anticipate friction, clarify expectations, and build sustained trust in data product capabilities.
Other
- B.S., M.S., or Ph.D. in a relevant life sciences, informatics, or technical discipline.
- 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.
