Responsibilities
* Provide scientific leadership in the design and execution of AI-driven drug discovery strategies, focusing on target identification, ADMET modeling, and translational relevance.
* Lead cross-functional collaborations between AI researchers, domain scientists, and external partners to align model capabilities with drug discovery needs.
* Guide the development and prioritization of datasets and experimental pipelines to support model training, validation, and deployment.
* Represent Microsoft Research in strategic planning and governance discussions with external partners, defining shared goals and communicating scientific progress.
* Contribute to the long-term vision and architecture of modular AI systems supporting end-to-end drug discovery and development.
* Mentor researchers across disciplines and foster a culture of scientific excellence, openness, and impact.
Qualifications
* PhD in computational biology, medicinal chemistry, structural biology, or a related field.
* Extensive experience leading interdisciplinary research in drug discovery or biomedical AI.
* Deep understanding of drug discovery pipelines, translational science, and integration of AI with experimental biology and chemistry.
* Knowledge of predictive modeling of molecular properties and biological responses, and strategic data generation and curation.
* Proven ability to lead large-scale collaborations across academia, industry, and global health organizations.
* Strong publication record and excellent communication and leadership skills.
Note: The original post contains additional information about AI for Science resources and equal opportunity employment policies, which are not directly related to the job responsibilities or qualifications and have been omitted for clarity.
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