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Tenure-Track Faculty Position(s) in Artificial Intelligence and Machine Learning for Drug Discovery

Job Description

How to Apply

All application materials should be submitted through the Interfolio Portal: https://apply.interfolio.com/174339

Review of applications will begin immediately and continue on a rolling basis until the position is filled. 

To apply, please submit the following materials: 

For informal inquiries, please contact the search committee chair, Dr. Duxin Sun ([email protected]

Job Summary

The University of Michigan (U-M) invites applications for three tenure-track faculty positions in the area of Artificial Intelligence (AI) and Machine Learning (ML) in Drug Discovery. This is a unique cluster hire initiative spanning the College of Pharmacy, Life Sciences Institute (LSI), and Medical School. We welcome applications from both early and mid-career candidates with strong records of research excellence in AI/ML-driven approaches to drug discovery. 

 

Successful candidates will be appointed within the unit most appropriate to their expertise while fostering interdisciplinary collaborations across the university.

 

Strategic Impact and Vision

 

This cluster hire aligns with U-M's Vision 2034, emphasizing:

 

About the Positions

 

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.

 

Resources and Collaborative Environment

U-M provides an exceptionally collaborative and resource-rich environment for AI/ML and drug discovery research, including:

 

Responsibilities

Requirements

Modes of Work

Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes.

Additional Information

The College of Pharmacy and the University of Michigan seek to recruit and retain a diverse workforce as a reflection of our commitment to serve our diverse constituents, and to maintain the excellence of the Department, College, and University. The University of Michigan is supportive of the needs of dual career couples, and is an equal opportunity employer that complies with all applicable federal and state laws regarding nondiscrimination. It is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, height, weight, or veteran status in employment, educational programs and activities, and admissions.

Background Screening

The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third-party administrator to do so. Background checks include both a criminal background check and an institutional reference check regarding any misconduct. As part of this process, candidates will be required to complete a self-disclosure form and an authorization to release information form.

U-M EEO Statement

The University of Michigan is an equal employment opportunity employer.

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