Postdoctoral Research Fellow positions in Computational Biology at UT Southwestern Medical Center – The laboratory of Dr. Jian Zhou (zhoulab.io) at Lyda Hill Department of Bioinformatics, UT Southwestern Medical Center, is recruiting multiple postdoctoral research fellows in the areas of genomics and data science. Our laboratory extensively develops and applies methods for addressing data-intensive biological questions using deep learning, machine learning, and statistics. Specific research areas of interest include deep learning algorithms for biological sequences, sequence-basis of gene expression regulation, evolution of regulatory genome, single-cell data analysis, protein structure, and impact of mutations on diseases.
Dr. Jian Zhou is a Lupe Murchison Foundation endowed assistant professor at the UT Southwestern Medical Center. Dr. Zhou’s previous studies have developed deep learning sequence modeling techniques for genomic variant effect prediction, including chromatin (DeepSEA: Zhou et al., 2015, Nature Methods >700 citations) and gene expression (ExPecto: Zhou et al., 2018, Nature Genetics) effects, and analyzing noncoding mutation contribution to human disease (Zhou et al. 2019, Nature Genetics).
Ideal candidates should have Ph.D. or equivalent degrees in Computer Science, Computational Biology, Statistics, Engineering or a related field at the expected start time, and have a strong computational background. Previous research experience in deep learning, machine learning, or statistics is encouraged but not required. For strong candidates with either computational or biology background, extensive knowledge of the other field is not required. Interested applicant should submit your CV, a brief description of your previous work and your future research interests and arrange for a list of three references to be sent to email@example.com.
Our laboratory is located in the Lyda Hill Department of Bioinformatics on UT Southwestern’s South Campus. We will also work closely with other research groups in and outside of the campus. Our lab members also have access to considerable computational resources, including the >28,000-core cluster with >12 Petabyte of storage available through UT Southwestern’s high-performance infrastructure (BioHPC - https://portal.biohpc.swmed.edu). The candidate will have the opportunity to work on a broad range of computational and experimental aspects of computational biology on a highly interdisciplinary team, and participate in all aspects of method development, software implementation, data analysis, and experimental validation in collaboration with other biologists.
Information on our postdoctoral training program and benefits can be found in our Postdoc Handbook or at http://www.utsouthwestern.edu/postdocs.