Discovery Research Domain Expert, IT Business Analyst

Working with Us
Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.

Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us.

Bristol Myers Squibb is seeking a passionate, inquisitive, and energetic individual to accelerate innovation in early drug discovery through data. As part of the Molecular Invention Data Product Team, this role will help define, shape, and deliver scalable solutions that enable predictive, AI-powered research across Drug Discovery domains, including Molecular Invention (MI), Early Biology, and Preclinical Research

Position Overview:

The Discovery Research Domain Expert will act as a vital link between scientific teams investigating causal human biology and aligning biotherapeutic modalities with disease mechanisms, utilizing Research IT data solutions. This hands-on business analyst role requires deep familiarity with early discovery Life Sciences domains, strong analytical and communication skills, and a mindset centered on translating complex scientific needs into actionable IT requirements. The individual will work directly with predictive modelers, Biologics & Large Molecule (LM) lab scientists, Chemists, In Vivo Researchers, and data engineering teams to develop, improve, and support data products that drive scientific insight.

This position is part of a cross-functional team that collaborates with Product Managers, Sr. Business Analysts, Data Engineers, Data Scientists, and Research stakeholders to deliver fit-for-purpose data capabilities across Biologics, Sequencing, Protein Engineering, Medicinal chemistry synthesis and evaluation, Informaticians, and more. The Discovery Research Domain Expert will play a critical role in enhancing data usability, accelerating delivery timelines, and improving stakeholder trust in our data ecosystem.

The Discovery Research Domain Expert’s contributions will shape BMS’s abilities to discover, develop, and deliver innovative medicines that help patients prevail over serious diseases.

Role & Responsibilities:

• Partner with Research stakeholders (Biologics, Discovery Biotherapeutics, Next Gen Sequencing, Thematic Research Centers, Chemistry, DMPK, etc.) 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 (Findable, Accessible, Interoperable, Reusable).

• 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 and with influence—bridging scientific, technical, and strategic conversations across diverse audiences.

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

Qualifications: