Artificial Intelligence – Bioinformatic Expert

Artificial Intelligence – Bioinformatic Expert

Faculty Opportunity

University of Texas Medical Branch (UTMB) - Galveston, Texas

UTMB Health - Innovative and Compassionate Patient Care – State-of-the-art Facilities:

UTMB Health is a billion-dollar health science center comprised of four schools (the School of Medicine, the Graduate School of Biomedical Sciences, the School of Health Professions, and the School of Nursing), three institutes and over 10 exceptional research centers. UTMB was the first academic health center in Texas and is home to the state's first schools of medicine, nursing, and allied health sciences.

UTMB is a world-class research center with strengths in infectious disease, neuroscience, aging, kidney healthy, and other disciplines. In addition to a highly collaborative environment, UTMB offers outstanding research facilities including next-generation sequencing, mass spectrometry, optical microscopy, flow cytometry, solution biophysics, NMR, X-ray crystallography, cryo-electron microscopy, scientific computing, and bioinformatics. Excellent opportunities for scientific interactions exist through sister institutions in the Greater Houston area, Gulf Coast Consortia, and the Keck Center for Interdisciplinary Bioscience.

Position Summary/Functions:

The newly establishedUTMB,Sealy Institute for Drug Discovery seeks outstanding Artificial Intelligence (machine learning)- Bioinformatic Expert for a tenure-track position at the rank of Assistant Professor. The successful candidate should possess the below listed skills:

• Proficiency in Python and R as well as key frameworks for AI development (e.g. PyTorch, TensorFlow, JAX or equivalent).
• Familiarity with core bioinformatics tools and software, such as Bioconductor and Biopython
• Familiarity with pipeline development and ability to work with teams to scale and operationalize new models and training regimes.
• Deep expertise in AI model development and an ability to extend and apply tools such as AlphaFold, DiffDock, MolBert and similar tools in new and creative ways.
• Expertise in current models and paradigms such as transformers, graph neural networks, and embeddings.
• Knowledge of biological and chemical data formats and standards, such as FASTA, FASTQ, BAM, VCF, BED, GFF, PDB, and SDF.
• Ability to work independently and collaboratively in a multidisciplinary and dynamic environment.
• Excellent communication and presentation skills, both oral and written.
• Strong problem-solving and critical thinking skills.
• High motivation and passion for bioinformatics and biomedical research.

Position Requirements:

• Ph.D. in bioinformatics, computational biology, systems biology, computer science, or a related field.
• Postdoctoral or equivalent experience.
• At least 3-5 years of experience in bioinformatics pipeline development and machine learning in a research setting.

Income Package: Salary will be commensurate with academic rank, qualifications, and level of experience. In addition, UTMB offers a superior state benefits package, an excellent retirement program, and additional incentives.

Living in South Houston and/or Galveston, Texas:The city of Galveston is a popular tourist and cruise ship destination that includes beaches, museums, historical architecture, a vibrant arts community, and excellent restaurants, all located only 45 minutes from Houston, the nation's fourth largest city. More information about UTMB, the city of Galveston and other nearby communities where employees can reside can be found on the UTMB Living Website:

To apply for this opportunity, please submit a current and updated Resume/Curriculum Vitae (CV) to, Skott Harrington at:

UTMB Health strives to provide equal opportunity employment without regard to race, color, national origin, sex, age, religion, disability, sexual orientation, gender identity or expression, genetic information, or veteran status. As a VEVRAA Federal Contractor, UTMB Health takes affirmative action to hire and advance women, minorities, protected veterans, and individuals with disabilities.