Postdoctoral Scientist

San Antonio, Texas
September 25 2019
Position Type
Full Time
Organization Type
Job Type

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 dedicated to advancing global human health through innovative biomedical research. Texas Biomed, a free standing, not for profit private research institute, is an emerging international leader in infectious disease research. It supports ABSL3 and ABSL4 facilities with unparalleled resources, and is the host institution of the Southwest National Primate Research Center. Its campus is on the northwest side of beautiful San Antonio, a diverse and growing city in central Texas, with excellent quality of life and affordable housing.  

Texas Biomed partners with hundreds of researchers and institutions around the world, targeting 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. We also study co-morbidities of infection and vulnerable populations, such as the very young and the elderly and those suffering from cardiovascular diseases and metabolic disorders. Its staff of more than 350 employees includes a multidisciplinary team of approximately 65+ doctoral-level scientists who lead more than 200 major research projects in the Institute’s three program areas of Disease Intervention & Prevention, Host Pathogen Interaction and Population Health, as well as the Southwest National Primate Research Cent


Postdoctoral scientist position in Quantitative Biology are available in the laboratory of Dr. Diako Ebrahimi at Texas Biomedical Research Institute in San Antonio, TX. The qualified candidates 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 association with germline/somatic mutations, viral status, and other clinical data.

Texas Biomed provides unique research and training opportunities for postdocs, 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, 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 postdocs at Texas Biomed.

Relative Publications

  • D. Ebrahimi et al., Genetic and Mechanistic basis for APOBEC3H alternative splicing, retrovirus restriction, and counteraction by HIV-1 protease. Nature Communications 2018, 9(1), 4137. PMCID: PMC6175962.
  • H. Alinejad-Rokny et al. Source of CpG depletion in the HIV-1 genome. Molecular biology and Evolution 2016, 33(12), 3205. PMID: 27682824
  • F. Anwar et al., Footprint of APOBEC3 on the genome of human retroelements. Journal of Virology 2013, 87(14), 8195. PMCID: PMC3700199

Requirements for this position are: Candidates must possess a 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. Passion for learning quantitative biology. Preferred:  Ph.D. in quantitative biology or 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.

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

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

Interested applicants can apply online at  Application packets are accepted electronically or in hard copy. A completed application packet is a requirement for all positions. Incomplete applications will not be accepted.

Equal Employment Opportunity/M/F/Disability/Protected Veteran Status

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