Texas Biomedical Research Institute (Texas Biomed)

Postdoctoral Scientist – Quantitative Biology and 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 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 Center.

Job Summary – Req 12

Postdoctoral Scientist – Quantitative Biology and Bioinformatics

A postdoctoral scientist position in Quantitative Biology and Bioinformatics is currently available at Texas Biomedical Research Institute in San Antonio. The qualified candidate will be working on projects related to viral/cancer immunity and evolution including SARS-CoV-2. 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 SARS-CoV-2, HIV, malaria, schistosomiasis, Ebola, Zika, hepatitis C and TB, career development workshops on grant writing, starting a new lab, 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.

RESPONSIBILITIES:

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.

Requirements for this position are: 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.

Preferred:  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.

This is a full time salaried (exempt) position.  Texas Biomed business hours are Monday – 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.

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

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 

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Please apply via recruiter’s website.