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The University of Texas Southwestern Medical Center in Dallas is seeking a Computational Biologist I to support complex biomedical research. You will work with PI to determine computational approaches and develop data-analysis pipelines for large multi-omics datasets, producing reports for publication.
This role offers opportunities to strengthen bioinformatics skills in a collaborative lab environment and contribute to high-impact publications and discoveries in academia or biotech.
Job Description
Computational Biologist I - ( 976229 )
Description
With over 75 years of excellence in Dallas-Fort Worth, Texas, UT Southwestern is committed to excellence, innovation, teamwork, and compassion. As a world-renowned medical and research center, we strive to provide the best possible care, resources, and benefits for our valued employees. Ranked as the number 1 hospital in Dallas-Fort Worth according to U.S. News & World Report , we invest in you with opportunities for career growth and development to align with your future goals. Our highly competitive benefits package offers healthcare, PTO and paid holidays, on-site childcare, wage, merit increases and so much more. We invite you to be a part of the UT Southwestern team where you'll discover a culture of teamwork, professionalism, and a rewarding career!
Perform professional work in support of scientific research using technical knowledge of software, software development, networking, and/or hardware in a complex computing environment. Subject matter expert in multiple areas of computing technology, and specific knowledge of molecular biology and genetics. Works collaboratively with Principal Investigator ("PI") to determine the most suitable computational methods and tools to analyze large-scale biological data sets. Prepare reports for presentation or publication. Responsible for assisting PI in meeting the system needs for multiple research projects and/or labs.
We are seeking a motivated bioinformatics staff scientist with interests in computational analysis of complex biological data. The successful candidate will work with diverse multi-omic datasets, develop and refine analytical pipelines, and help translate biological questions into computationally driven insights. This position offers an excellent opportunity to strengthen in-demand bioinformatics and data science skills, work in a collaborative environment with both computational and experimental researchers, and contribute to impactful publications and discoveries that support future careers in academia, industry, or biotech.
Xu lab pioneers the application of artificial intelligence (AI) —particularly foundation models and LLMs—to drive biological and medical discovery, with a focus on interpretable and generalizable AI frameworks that extend foundation models into genomics, epigenomics, and precision medicine. For example, his team developed an AI-based approach to identify cardiovascular disease genes and validated these findings experimentally in a novel mouse model and preclinical studies, leading to publication in Nature in 2020. More recently, his team developed an LLM-based method that enabled the discovery and experimental validation of a new transcriptional biosensor, published in Science in 2026. His lab has also published multiple LLM algorithms in biology and medical applications, including DEEP-Align, DeMoP, MedLLMCoach, OmniHealthFM, and others.
UT Southwestern is proud to offer a competitive and comprehensive benefits package to eligible employees. Our benefits are designed to support your overall wellbeing, and include:
Security
This position is security-sensitive and subject to Texas Education Code 51.215, which authorizes UT Southwestern to obtain criminal history record information.
UT Southwestern Medical Center is committed to an educational and working environment that provides equal opportunity to all members of the University community. As an equal opportunity employer, UT Southwestern prohibits unlawful discrimination, including discrimination on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, gender expression, age, disability, genetic information, citizenship status, or veteran status.
UT Southwestern Medical Center is committed to an educational and working environment that provides equal opportunity to all members of the University community. In accordance with federal and state law, the University prohibits unlawful discrimination, including harassment, on the basis of: race; color; religion; national origin; gender, including sexual harassment; age; disability; citizenship; and veteran status. In addition, it is UT Southwestern policy to prohibit discrimination on the basis of sexual orientation, gender identity, or gender expression.
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