Discovery Research Domain Expert, IT Business Analyst

Role Summary

Discovery Research Domain Expert, IT Business Analyst. This role accelerates innovation in early drug discovery through data, translating complex scientific needs into actionable IT requirements and delivering data products that enable predictive, AI-powered research across Drug Discovery domains.

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.
• 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 across scientific, technical, and strategic conversations.
• Exhibit a growth mindset, demonstrating ownership for ongoing development in Business Analysis, AI/ML, and Pharmaceutical R&D.

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 SME in Molecular Invention research (e.g., Biologics, Sequencing, Protein Engineering, Antibody Discovery, Chemistry).
• 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 is a strong plus.

Skills

• Strong commitment to a career in technology with a passion for healthcare.
• Analytical thinker with strong communication and collaboration skills.
• Excellent stakeholder engagement skills with ability to influence without authority.
• Creative problem-solver who explores innovative solutions.
• Familiarity with data product development, data modeling, data mesh, data governance, or analytics.