Postdoctoral Fellow

Posted Date: 
Friday, April 3, 2020
Department: 
Cell Systems and Anatomy
Position Description: 

Successful candidates will be mentored by Drs. Habil Zare and Bess Frost, and will develop and apply cutting–edge machine learning techniques to analyze next–generation sequencing data from large cohorts. They will contribute to highly–collaborative studies in the areas of cancer research and neuroscience. Dr. Frost is an expert in using Drosophila as a model to determine fundamental processes in cell biology that drive neurodegeneration (see https://www.bessfrostlab.com). Research in her lab is complemented with comparative analyses in postmortem human brain. Dr. Habil Zare is a computational biologist and the PI of the Oncinfo Lab (see http://oncinfo.org). He is interested in cancer research, as well as neurodegenerative disorders including Alzheimer’s disease. While methodological advancements is the secondary goal in his studies, his lab has developed novel tools and algorithms to improve data analysis using Bayesian networks and integrative correlation networks. The PIs have recently published a study on transposable elements in Nature Neuroscience (PMID: 30038280), and their research is funded by NIH–NIA and NIH–NINDS. Both PIs have joint appointments at: 1) The Department of Cell Systems and Anatomy, which consistently ranks high for NIH funding, and 2) The Glenn Biggs Institute for Alzheimer’s & Neurodegenerative Diseases. Dr. Frost has also an appointment with the Sam & Ann Barshop Institute for Aging and Longevity Studies.

Position Requirements: 

Requires a PhD in a related field. While applicants with a strong background in cell biology and computer programming are preferred, exceptionally strong candidates with either background who are highly motivated for learning new concepts in biology and improving their programming skills will be considered. Ability for critical thinking and independent learning, and excellent written and oral communication skills in English are essential.

Preferred: Wet lab skills, above average knowledge in machine learning, mathematics, computational biology, bioinformatics, statistics, R, or experience in multidisciplinary research that has led to high-impact publications increases chance for acceptance.

How to Apply: 

Email a current CV and a cover letter to Dr. Habil Zare at zare@uthscsa.edu.

Contact Name: 
Habil Zare
Contact Email: 
Deadline to Apply: 
Wednesday, September 30, 2020
Job Number: 
180

All postdoctoral appointments are designated as security sensitive positions. UT Health San Antonio is an Equal Employment Opportunity/Affirmative Action employer including protected veterans and persons with disabilities.