Tenure-Track Faculty - AI/ML in Drug Discovery

2w2 weeks ago

University of Michigan

Ann Arbor, US · Full-time · $200,000 – $400,000

About this role

The University of Michigan invites applications for three tenure-track faculty positions in Artificial Intelligence and Machine Learning for Drug Discovery. This cluster hire initiative spans the College of Pharmacy, Life Sciences Institute, and Medical School, with Provost support. Mid-career candidates meeting criteria for associate professor or professor with tenure are sought, with appointments aligned to expertise and interdisciplinary collaborations encouraged.

Successful candidates will develop externally funded research programs, publish high-impact work, and teach across learning stages. They will collaborate across U-M units, engage industry for funding, and contribute to a new AI/ML-driven drug discovery center. Leadership roles in the Institute for AI-Driven Therapeutics Discovery (AI-Tx) may be available.

U-M offers a collaborative, resource-rich environment including the newly launched AI-Tx institute to integrate AI/ML and address drug development failures. This supports revolutionizing small molecule and biologic discovery. Joint appointments are considered case-by-case.

The initiative aligns with U-M’s strategic plan, advancing research innovation, interdisciplinary ties, economic impact via startups, and education in AI/ML-enabled drug development. It aims to enhance efficiency, reduce clinical trial failures, and position U-M as a leader in therapeutic innovation.

Requirements

Strong records of research excellence in AI/ML-driven approaches to drug discovery
Meet University of Michigan criteria for appointment as associate professor or professor with tenure
Expertise in AI/ML for identifying disease and drug targets
Experience accelerating identification of drug candidates and optimizing therapeutic design
Background in predicting clinical outcomes using AI/ML methodologies
Demonstrated ability to foster interdisciplinary collaborations in drug development
Track record of integrating computational and experimental drug discovery

Responsibilities

Develop and sustain an externally funded research program in AI/ML-driven drug discovery
Publish high-impact research in leading scientific journals
Teach and mentor students and trainees across all learning and development stages
Collaborate with faculty across U-M to drive AI/ML applications in drug development
Engage with industry and government agencies to secure funding and foster translational research
Contribute to the development of a new AI/ML-driven drug discovery center across College of Pharmacy, LSI, and Medical School
Contribute to the service missions of the department, university, and profession
Take a leadership role in the Institute for AI-Driven Therapeutics Discovery (AI-Tx)