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.
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.
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.
Apply online at 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