Applied AI and Machine Learning Scientist

Summary The successful candidate for the Applied AI/ML scientist position leads the development and application of AI across the Internal Medicine Research Unit (IMRU), translating advances in foundation models, agentic systems, multimodal AI, and related methods into reusable capabilities that strengthen scientific discovery and decision-making. The role combines deep technical credibility with strong scientific judgment and is accountable for shaping the AI portfolio within the newly created AI for IM Discovery (AIM2) Discovery Center within the IMRU, defining governance and evaluation standards, assessing AI/ML capabilities in external (or internal) partnerships, and accelerating practical AI adoption across IMRU. This role is intended for a technically credible AI scientist who can operate at the interface of machine learning, computational biology, and drug discovery, while remaining grounded in the realities of scientific decision-making. Success will require identifying and advancing high-value use cases, leading the development and deployment of scientifically robust AI solutions and building reusable capabilities that improve the speed, quality, and coherence of evidence generation across the portfolio. Role responsibilities Provide AI/ML technical leadership for AIM2 by advancing and applying large language models, agentic systems, multimodal AI, and related methods to high value scientific problems across Internal Medicine Research Unit (IMRU) while contributing technical expertise and recommendations that help shape the evolution of AI/ML capabilities in IMRU. Lead the technical evaluation and development of the AI capabilities within the AIM2, working with scientific stakeholders to identify and advance high-impact use cases where technically credible, reusable AI capabilities can create meaningful scientific or operational leverage. Serve as a senior technical and scientific leader across AIM2 Discovery Center, providing expert guidance on the design, evaluation and application of AI/ML approaches to ensure solutions are methodologically sound, fit for purpose, and grounded in biological, translational, and drug discovery context. Lead the design, development and application of reusable AI-enabled capabilities that strengthen scientific decision-making end-to-end, with emphasis on scientific rigor, technical quality, reproducibility, and practical utility across IMRU lines. Contribute technical expertise and best practices for the evaluation standards for AI-built capabilities, including expectations for provenance, validation, guardrails, responsible use, and appropriate human oversight. Partner closely with IMRU Integrative Biology, IMRU line teams, MLCS, and Digital partners to ensure that AI efforts remain tightly aligned to real scientific needs and can be deployed in ways that are trusted, scalable, and adopted in day-to-day work. Collaborate with external scientific and technology partners to evaluate external partnerships relevant to AIM2 priorities, providing technical expertise to evaluate emerging technologies and collaborators while ensuring that external engagements remain aligned to Pfizer priorities and IMRU needs. Articulate the value and impact of the AI capabilities to stakeholders across IMRU, providing clear assessments of performance, applicability, limitations and opportunities for broader adoption. Build a strong technical culture within AIM2 and across IMRU, fostering scientific curiosity, high standards, collaboration, and continuous learning, while helping raise confidence in the responsible application of AI across IMRU.

Advanced degree in computer science, machine learning, artificial intelligence, computational biology, bioinformatics, statistics, engineering, life sciences, or a related quantitative or scientific field preferred. Typically, candidates at this level will bring substantial relevant experience, for example approximately 5+ years with a