Tenured or Tenure-Track Faculty Position, Fall 2025 - UT Austin

The Department of Molecular Biosciences at the University of Texas at Austin invites applications for tenured and tenure-track faculty positions at all ranks in the areas of cancer biology, immunology, and cancer therapeutics. We are particularly interested in candidates who interface with data analytics, artificial intelligence, and use of large datasets to inform our understanding of human disease.

Applicants whose research programs broadly align with the themes of Artificial Intelligence and Data Analytics (AI+DA) in the areas of cancer biology and generative AI are encouraged to apply, as Molecular Biosciences positions in these areas may be available through UT Austin’s Cluster Hiring Program in AI+DA. Candidates who are particularly well suited to the AI+DA cluster hiring program will be given the option to be considered for this opportunity and may be asked to submit additional materials to the cluster hiring committee.

Successful candidates are expected to establish and sustain a vibrant research program; serve as dedicated teachers and mentors to our increasingly diverse students at both the undergraduate and graduate levels; and assist in the administrative and governance functions of the department, the university and the profession via service on committees as appropriate.  Applicants at the assistant professor level must have a promising research agenda, and a strong commitment to graduate and undergraduate student education and success.  Applicants at the associate or full professor level must have a significant record of accomplishment in research, teaching, and service. 

“What starts here changes the world.” UT Austin offers numerous resources and an exciting and interactive environment to foster creative interdisciplinary research. In addition to their research activities, our faculty are committed to the development of state-of-the art courses and real-world training experiences for undergraduate and graduate students as part of our core educational mission. Successful candidates will be eligible for membership in the Interdisciplinary Life Sciences Graduate Programs, which recruits a talented pool of graduate students each year. We also have outstanding core facilities, including those within the Center for Biomedical Research Support, the Texas Advanced Computing Center, and the Sauer Center for Structural Biology. The department has strong ties to other research units at UT Austin, including the School of Engineering, School of Pharmacy, Department of Computer Science, and Dell Medical School. This position offers excellent start-up funds, salary, and laboratory space in a dynamic and highly interactive research environment in the vibrant city of Austin.

Qualifications

PhD in Biology, Molecular Biology, Biophysics, Bioinformatics, or closely related fields.

Applicants should apply through Interfolio (http://apply.interfolio.com/158220) with the following documents:

1) Cover Letter that includes research area, qualifications, and contact information

2) CV

3) A statement of existing and planned research including aspects of their research program that incorporate, leverage, or support artificial intelligence or machine learning

4) A statement of teaching goals including educational opportunities related to artificial intelligence for students from varied disciplines

5) Three confidential letters of recommendation (for Assistant or Associate Professor applicants) or names of three references (for Full Professor applicants).

The successful candidate will be required to complete an Employment Eligibility Verification form and provide documents to verify identity and eligibility to work in the USA. A security sensitive background check will be conducted on the applicant selected.

The 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.