We offer exciting opportunities in research, teaching, and professional development to meet the challenges in many fast growing industries in diverse areas of genomic and pharmaceutical research. Bioinformatics is an interdisciplinary science with a focus on data management and interpretation for complex biological phenomena that are analyzed and visualized using mathematical modeling and numerical methodologies with predictive algorithms.

 

Professional Science Master's (PSM) degree in bioinformatics is an interdisciplinary program designed for individuals from diverse backgrounds to acquire knowledge and techniques with a curriculum established for professional development and communication training. Bioinformaticians will be able to function as professionals for careers in many different private, academic, and government sectors, requiring skills for biomedical informatics, ecoinformatics, and genomic data analyses related to agricultural and human health issues. Please email us at bioinformatics@utep.edu or use Information Request Form

 

Undergraduate Participation in Bioinformatics Training (UPBiT) is a research-based program funded in part by the National Science Foundation (NSF Grant DUE-0926721) with an initiative to interface biological and mathematical sciences. Stipends are available for science majors, starting in their sophomore year, to work as UPBiT trainees in research rotations. Our research themes include biomolecular sequence analysis, ecoinformatics and phylogenetic analysis, microarray and proteomics data analysis, and molecular structure prediction.

 

Bioinformatics Computing Laboratory (BCL) serves as a core facility of UTEP's Border Biomedical Research Center (BBRC) funded by the National Institutes of Health (NIH) with a panel of consulting faculty from different departments, providing bioinformatics research support services  in the border region. BCL also creates local opportunities for our graduates continuing to pursue bioinformatics research in their PhD studies at UTEP, especially for developing bioinformatics computing tools. For specific research areas, please visit our BCL website.