DescriptionAs part of the Year of AI at The University of Texas at Austin, the College of Pharmacy, College of Natural Sciences, and Cockrell School of Engineering invite applications for three faculty positions as part of a cluster hire on “Artificial Intelligence in Cancer Therapeutics”. Applicants at the tenure-track Assistant Professor level are preferred, however established investigators at tenured Associate and tenured Professor levels will also be given consideration. It is broadly expected that successful candidates will be placed within Pharmacy (Divisions of Pharmacology and Toxicology, Chemical Biology and Medicinal Chemistry, or Molecular Pharmaceutics and Drug Delivery), Natural Sciences (Departments of Molecular Biosciences), and Cockrell School of Engineering (Departments of Biomedical Engineering or Chemical Engineering). Successful candidates, depending on career stage, will already have or will quickly establish a robust extramurally funded research program bridging mechanistic cancer biology, development of cancer therapeutics, and artificial intelligence. Successful candidates will also contribute to graduate and professional program instruction, and instructional responsibilities will include developing new courses on artificial intelligence in biology. Additional responsibilities include providing service to the College/University and broader scientific community and contributing to the vision, mission, and strategic plan of the College and University, particularly as it relates to the incorporation of artificial intelligence in the University’s research and teaching missions. The University of Texas at Austin is a top-ranked public university. The Colleges of Pharmacy, Natural Sciences, and Engineering together are highly ranked nationally with substantial extramural funding (NIH, NSF, DOD, DOE). Cancer biology and cancer drug development represent strong focus areas of research and training. This AI Cluster Hire aims to recruit a diverse group of experts dedicated to fostering growth of biomedical AI and data science related to cancer. Successful candidates will integrate with, benefit from, and substantially advance the existing cancer research enterprise at the University. Investigators will find a rich network of collaborators, research resources, and mentored career support to help build/strengthen their research programs. UT Austin supports the Center for Biomedical Research Services with a variety of core facilities to support research. Collaboration exists through the Center for Molecular Carcinogenesis and Toxicology, the Livestrong Cancer Institutes, the Interdisciplinary Life Sciences Graduate Programs, the Dell Medical School, among others. UT Austin is in the heart of Texas adjacent to the Texas Hill Country, an area of the state noted for its geographic beauty, pleasant climate, cultural variety, and year-round recreational activities. QualificationsRequired qualifications: Ph.D. or equivalent in Computational Biology, Computer Science, Pharmacology, Engineering, Molecular Biology, Chemistry, Pharmaceutical Chemistry or a closely related discipline in biomedical or health sciences A record of research productivity as demonstrated by impactful peer-reviewed publications Depending on career stage, evidence of existing strong extramurally funded research program or likelihood of establishment of such a program Established track record of experience and expertise or a strong interest in developing or applying artificial intelligence/machine learning approaches to biological questions and therapeutics related to cancer Preferred qualifications: Evidence of an innovative research focus that builds on current programmatic strengths in the University, especially in areas of cancer therapeutics research Evidence of ability to collaborate across disciplines to merge drug discovery, computational approaches, and therapeutics Evidence of leadership Application InstructionsInterested applicants should prepare and submit a cover letter expressing interest and stating the career rank and position for which applying, a detailed curriculum vitae including academic and professional experience and peer reviewed publications, a statement of existing and planned research including aspects of their research program that incorporate, leverage, or support artificial intelligence or machine learning, a statement of teaching goals including educational opportunities related to artificial intelligence for students from varied disciplines, and names and contact information of at least three references. Applications received before December 15, 2024, will be given priority review. Equal Employment Opportunity StatementThe University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University 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, or veteran status in employment, educational programs and activities, and admissions.
