Texas Biomedical Research Institute (Texas Biomed)

Postdoctoral Scientist - Quantitative Biology & Bioinformatics

Texas Biomedical Research Institute (Texas Biomed)

San Antonio, TX, United States

Saving Lives With the Power of Scientific Discovery.   We Make Today’s Discoveries Possible of Becoming Tomorrow’s Cures.


Texas Biomedical Research Institute is one of the world’s leading independent biomedical research institutions in lifestyle and infectious disease research. Texas Biomed’s research includes advances in the fight against infectious diseases impacting our communities around the world, including AIDS, TB, hepatitis, malaria, hemorrhagic fever viruses, parasitic infections and many other infectious diseases.  Additionally, the Institute studies co-morbidities of infection and vulnerable populations, such as the very young, the elderly, and those suffering from cardiovascular diseases and metabolic disorders.  Each year, Texas Biomed scientists are engaged in more than 200 research projects and publish well over 100 articles in international scientific literature.


Texas Biomed partners with hundreds of researchers and institutions around the world to further infectious disease research.  Texas Biomed is a member of the Southwest Research Consortium and works in partnership with the University of Texas Health Science Center at San Antonio, the Southwest Research Institute, the University of Texas at San Antonio, and Trinity University, San Antonio.  Furthermore, it is a member of the Association of Independent Research Institute (AIRI), a nationwide association of independent, not-for-profit research institutes conducting peer-reviewed applied research in biomedical and behavioral sciences.


Since its founding in 1941, the Texas Biomedical Research Institute has gained worldwide recognition in scientific and academic communities for utilizing innovative thinking, creative problem solving, and cutting-edge technologies to advance global human health.


Job Summary



A postdoctoral scientist position in Quantitative Biology and Bioinformatics is available at Texas Biomedical Research Institute. The qualified candidate will be working on projects related to viral/cancer immunity and evolution. The overall aims of the projects are to develop and apply multi-omic approaches to mine and deconvolute complex datasets including genomic, transcriptomic, and proteomic data from viruses, hosts, and tumors to: a) discover population-specific virus-host interaction mechanisms and identify underlying genetic and evolutionary sources; b) delineate gene expression profiles in cancer and investigate their associations with germline/somatic mutations, viral status, and other clinical data.

Texas Biomed provides unique research and training opportunities including access to exceptional resources such as BSL4, SNPRC (Southwest National Primate Research Center), a vigorous infectious disease program on HIV, malaria, schistosomiasis, Ebola, Zika, hepatitis C and TB, career development workshops on grant writing, starting a new lab, and skill management, and outstanding imaging, computational, and sequencing facilities. Texas Biomed faculty have adjunct appointments at two universities in San Antonio (UTSA and UTHSCSA), which provide a wide range of additional training and career development opportunities for Texas Biomed employees.


Develop computational approaches including deep learning to analyze genomic, transcriptomic, and proteomic patterns associated with viral and cancer immunity.

Perform evolutionary analysis to identify adaptation forces. 

Work with other computational and experimental lab members and collaborators to turn new findings into experimentally and computationally testable hypotheses.

Actively participate in writing journal articles and grant proposals.




Ph.D. in a quantitative science discipline such as bioinformatics, computer science, mathematics, statistics, physics, or engineering.

Skills in working with large datasets and developing tools and algorithms for analysis of large datasets.

Coding in one or more platforms, e.g. Python, R, Matlab.


Ph.D. in quantitative biology, bioinformatics

Experience in analyzing RNAseq, GWAS, Hi-C and other large biological datasets

Familiarity with databases such as UCSC Genome Browser, 1000Genomes, TCGA, and ICGC.

Experience in using standard bioinformatics packages such as Samtools, Cufflinks, Tophat, …

Knowledge of statistics

Knowledge of evolutionary biology, and viral/cancer immunity


Benefits include health, dental, life, AD&D, and long-term disability insurances. Educational assistance program, paid holidays, vacation, sick/emergency leave, retirement plan.


This is a full-time salaried (exempt) position.  Texas Biomed business hours are Monday through Friday – 8:00 a.m. to 5:00 p.m. Texas Biomed is committed to a drug-free workplace.  Pre-employment drug screen is required.


Apply online at https://txbiomed.csod.com/ux/ats/careersite/1/home?c=txbiomed. A completed application packet is a requirement for all positions. Equal Employment Opportunity/M/F/Disability/Protected Veteran Status

Please apply via recruiter’s website.