Postdoctoral position is available in Professor Yong Xu’s laboratory at Children’s Nutrition Research Center at Baylor College of Medicine in Houston. The Postdoctoral Associate will join a group of experienced neuroscientists and molecular biologists mentored by Professor Yong Xu. Will also receive co-mentorship from Professor Zhongming Zhao (Director of Center for Precision Health, University of Texas Health Science Center at Houston).
The ongoing projects will utilize next-generation sequencing and single cell omics, deep learning, and regulatory networks. Integrative genomics and deep learning approaches are often applied. These bioinformatic studies will be integrated with studies using genetic mouse models, optogenetics/chemogenetics/fiber photometry, electrophysiology, molecular biology and biochemistry to reveal functional roles of genetic variants in neuroendocrine diseases and neurological disorders.
Funding (multiple NIH and USDA grants) is available to support this position for 2+ years. The postdoc will have the opportunity to access many high throughput datasets and interact with investigators across Baylor College of Medicine and Texas Medical Center. Recent publications appeared or accepted in journals such as Nature, Nature Medicine, Nature Neurosciences, Nature Communications, Nature Metabolism, Neurons, Molecular Psychiatry, Cell Metabolism, Journal of Clinical Investigation, Elife, PNAS, Science Advances, etc.
For more information about our research, please visit the web site https://www.bcm.edu/people/view/yong-xu-m-d-ph-d/b2852c80-ffed-11e2-be68-80027880ca6/.
- Performs literature search to identify the gap of knowledge in the field of brain control of metabolism.
- Develops testable hypotheses and designs scientific experiments to test these hypotheses.
- Collects data, performs bioinformatic analysis of data, and generates graphic presentations of the results.
- Composes manuscripts, abstracts, posters or PowerPoint presentations for publications or other scientific communications.
- Provides hands on training to other lab members (e.g. graduate students, summer students and lab staff).
- A Ph.D. in bioinformatics, quantitative science, computational biology, neuroscience, genetics, molecular biology, pharmacology, or related field.
- Experience in analyzing high-throughput genomic data and proven skills in at least one programming language (e.g., Perl, Python, R, or C/C++).
- Should be highly motivated in research and have a Ph.D. in bioinformatics, quantitative science, computational biology, neuroscience, genetics, molecular biology, pharmacology, or related field upon the job start date.
- Good understanding of genetics or molecular biology is a plus, but not required.