Drug development faces significant challenges, including high costs, long timelines, and a 90% failure rate in clinical trials. AI and ML have the potential to enhance drug discovery by improving the identification of disease and drug targets, accelerating the identification of drug candidates, optimizing the design of therapeutics, and guiding predictions of clinical outcomes. The goal of this cluster hire is to advance U-M?s leadership in drug discovery by integrating cutting-edge AI and ML methodologies into the drug discovery process, enhancing efficiency, reducing failure rates, and supporting therapeutic innovation.
Requirements
- Expertise in applying AI/ML methodologies to drug discovery, pharmacology, chemistry, bioinformatics, or computational biology.
- A commitment to teaching, mentoring, and training students and postdoctoral fellows in AI/ML-driven drug discovery.
- Interest in interdisciplinary collaboration and contributing to drug discovery and therapeutic innovation.
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 efforts.
- Contribute to the development of a new AI/ML-driven drug discovery center, integrating efforts across the College of Pharmacy, LSI, and Medical School, and other units in the University of Michigan.
- Contribute to the service missions of the department, university, and profession.
Other
- Cover letter specifying the preferred tenure home unit (College of Pharmacy or Medical School) and how their expertise aligns with the AI/ML drug discovery focus areas.
- Curriculum vitae.
- Statement of research interests and vision (2-3 pages).
- Statement of teaching philosophy and mentoring approach (1-2 pages).
- Names and contact information for three references.
