Multiple Postdoc Position Available, University of Texas McGovern Medical School, Houston, Texas
- UTHEALTH University of Texas Health Science Center at Houston
- Location: Houston, TX
- Job Number: 7068549
- Posting Date: Aug 4, 2020
- Application Deadline: Open Until Filled
Job DescriptionMultiple positions are available in highly productive Han Lab (https://med.uth.edu/bmb/laboratories/han/labnews/) at Department of Biochemistry and Molecular Biology, University of Texas health Science Center at Houston. Our lab utilizes cutting-edge techniques in systems biology to understand the molecular mechanisms of complex diseases. We have comprehensive understanding of the molecular mechanisms of novel transcriptomic elements in cancer (Trends in Cancer, 2018), including pseudogenes (Nature Communications, 2014), lncRNA (Cancer Research, 2015), RNA editing (Cancer Cell, 2015), QTL (Nucleic Acids Research, 2018; Trends in Genetics, 2020), snoRNA (Cell Reports, 2017; Molecular Cancer, 2020), APA (Journal of the National Cancer Institute, 2018), circRNA (Genome Medicine, 2019), and eRNA (Nature Communications, 2019). We pioneered a series of pan-cancer analyses to provide clinical insights into cancer therapy, including chronotherapy (Cell Systems, 2018), hypoxia-targeted therapy (Nature Metabolism, 2019), and immunotherapy (Nature Immunology, 2019; Nature Communications, 2020). We also developed several popular bioinformatics tools and data portals, including LNCediting (Nucleic Acids Research, 2017), PancanQTL (Nucleic Acids Research, 2018), CSCD (Nucleic Acids Research, 2018), Pancan-meQTL (Nucleic Acids Research, 2019), CancerSplicingQTL (Nucleic Acids Research, 2019), and APAatlas (Nucleic Acids Research, 2019). We are invited to write review, commentary, and spotlights in high-profile journals, including Trends in Cancer, Trends in Genetics, Trends in Molecular Medicine, and Genome Medicine. Multiple postdocs started their faculty positions to establish their own labs with 2-4 years training.
We recruited computational postdocs: The qualified candidates should be highly motivated in research with a Ph.D. in Bioinformatics, Computational Biology, Computer Science, Genetics, or related field, and have strong experience in analyzing high-throughput genomic data, especially next generation sequencing data, with strong skills in at least one programming language (Perl, Python, Java, C/C++, or R).
Salary and benefits will be highly competitive and commensurate with experience. The minimum will NIH guidelines will be met. (https://www.nhlbi.nih.gov/research/funding/general/nrsa-fund-guide) plus standard benefit. Applicants should send a CV to Leng Han (firstname.lastname@example.org).