Postdoctoral Fellow in Bioinformatics, Deep Learning

UTHealth Science Center at Houston
Houston, Texas, United States
Job Type:
  • Postdoctoral
Degree Level Required:
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Postdoctoral Fellow in Bioinformatics, Deep Learning

Postdoctoral positions are available in Dr. Zhongming Zhao’s Bioinformatics and Systems Medicine Laboratory (BSML,, Center for Precision Health, School of Biomedical Informatics, University of Texas Health Science at Houston (UTHealth). The successful candidate is expected to join an established bioinformatics team. The ongoing projects in BSML focus on precision medicine, functional roles of genetic variants in complex disease, next-generation sequencing and single cell RNA sequencing method development and data analyses, deep learning, and regulatory networks. Integrative genomics and deep learning approaches are often applied. Funding (NIH grants, CPRIT, and lab/center startup) is available to support this position for 3+ years and promotion to faculty positions is possible. The candidate will have the opportunity to access many high throughput datasets and interact with investigators across UTHealth and Texas Medical Center. The lab is highly productive (>300 papers since 2009) and has an excellent post-doctoral training track record (e.g. 23 former postdocs are currently faculty members, two received Young Investigator Awards from national foundations, two received CPRIT Scholar faculty recruitment, One NIH K99 awardee, and three were finalists for the Vanderbilt University Postdoc of the Year Award). Recent publications appeared in journals such as Nature, Nature Medicine, Nature Neurosciences, Nature Communications, Cancer Discovery, Genome Research, Genome Biology, Genome Medicine, NAR, Oncogene, etc


Data ananlysis Scientific report Presentation of the work Draft manuscript


The qualified candidates should be highly motivated in research and have a Ph.D. in bioinformatics, quantitative science, computational biology, genetics, molecular biology, pharmacology, or related field upon the job start date. The successful candidate should have some experience in analyzing high-throughput genomic data and proven skills in at least one programming language (e.g., Perl, R, Java, or C/C++). Good understanding of genetics or molecular biology is a plus, but not required. For more information about our research, please visit the web site