The Department of Biology in the College of Science, at the University of Texas at Arlington (UTA) (
http://www.uta.edu/biology/), invites applications for a Tenure-Track faculty position in Bioinformatics at the rank of Assistant or Associate Professor. We seek to expand our strengths in computational and experimental biology to incorporate ground-breaking research in Bioinformatics that leverages modern machine learning and AI approaches.
We invite applications from researchers working at the interface of data science and biology, with particular interest in those leveraging AI and large-scale datasets to investigate fundamental questions in the life sciences. Priority will be given to candidates whose work uses computational and data-driven approaches to explore complex biological systems or processes by integrating across multiple levels of organization, from molecules and gene networks to organisms, populations, and ecosystems. We are also interested in research that integrates diverse data types, such as genomic, phenotypic, environmental, or ecological data, to uncover patterns, mechanisms, and emergent properties underlying biological function, health, disease, and/or ecosystem dynamics. Candidates whose work bridges disciplines and pushes the boundaries of how large-scale data and AI can be used to advance biological understanding are strongly encouraged to apply.
Successful candidates will have a doctoral degree in a relevant field and should demonstrate strong promise for acquiring extramural grant funding and potential for producing high quality research and scholarly or creative achievements that advance the field; and show strong promise to develop and use novel biological, theoretical, and quantitative approaches as well as functional experimental methods to investigate complex biological systems such as the interaction of the environment with an individual’s genome and interactions among organisms.
New faculty will further contribute to the UTA community through high-quality teaching using evidence-based practices to engage undergraduate and graduate (Master’s and Ph.D.) students from various backgrounds and experiences effectively.
Start-up funds, salaries, and teaching loads are highly competitive, and successful candidates will have opportunities to apply for generous state funds with which the University and Department has had considerable success.
This position is expected to start September 1, 2026.