Both computational biology or bioinformatics and experimental postdoctoral positions are available in Dr. Yiwen Chen’s lab to study the RNA-based gene regulation in cancer immunology and brain tumor. By combining computational and high-throughput approaches such as CRISPR/Cas9, RNA-seq, ChIP-seq, RNA immunoprecipitation (RIP)-seq and Ribosome Profiling (Ribo-seq), the focuses of Dr. Chen’s lab are to decipher the mechanism of the gene regulation at post-transcriptional and/or translational level in cancer immunology and brain tumor.
Computational Biology or Bioinformatics Postdoc:
The postdoc will be developing novel computational methods that integrate heterogeneous genomic datasets to decode the functional RNA regulatory network that is important for tumor immunity and brain tumor. Another direction is to develop new computational methods for proteogenomics, an emerging field at the intersection of genomics and mass spectrometry (MS)-based proteomics. In addition to the development of computational methods, he/she will be collaborating with other labs for various biomedical applications. The postdoc will be under joint supervision of Dr. Yiwen Chen (Department of Bioinformatics and Computational Biology) and Dr. Jian Hu (Department of Cancer Biology) for brain tumor study, and Dr. Patrick Hwu (Department of Melanoma Medical Oncology & Center for Cancer Immunology Research) for T-cell based cancer immunology study.
The experimental postdoc will (a) leverage the high-throughput assays developed/established in the lab to study the functional RNA regulatory network that is important for tumor immunity and brain tumor, and/or (b) use protein-engineering techniques such as phage display and yeast display approaches to develop T cell-based cancer immune-therapy. The postdoc will be under joint supervision of Dr. Yiwen Chen (Department of Bioinformatics & Computational Biology) and Dr. Jian Hu (Department of Cancer Biology) for brain tumor study, and Dr. Patrick Hwu (Department of Melanoma Medical Oncology & Center for Cancer Immunology Research) for T-cell based cancer immunology study.
The representative publications of Dr. Jian Hu include Cell (2012), 148(4):651-63; Proc Natl Acad Sci U S A. (2013), 110(36):14520-7; Nature Genetics (2017), 49(1):75-86;
The representative publications of Dr. Patrick Hwu include Journal of Clinical Oncology (2014), 10;32(32):3659-66.; Cancer Discovery (2016), 6(2):202-16; Cancer Discovery (2016), 6(9):953-5
The representative publications of Dr. Yiwen Chen include Cancer Cell (2011), 12;20(1):119-31; Nature Methods (2012), 9(6):609-14; Nature Structural & Molecular Biology (2013), 20(7):908-13; Nature (2014), 507(7493):448-54; Nature (2014), 508(7494):103-7. Nature Communications. 2016 7:10982; Trends in Genetics 2016 32(4):211-24; Nature Genetics. 2017 49(1): 75-86; Nature Communications. 2017 8(1):1749
MD Anderson Cancer Center is ranked No. 1 cancer hospital (2017-2018 US News & World Report). It is an equal opportunity/affirmative action employer. It offers active graduate and postdoctoral training programs and the unmatched scientific environment of the Texas Medical Center, the world’s largest biomedical center that includes many other top-notched institutions such as Baylor College of Medicine and Rice University. The city of Houston is the 4th largest city in US.
Computational Biology/Bioinformatics Postdocs:
Applicants should have a Ph.D. degree (or equivalent) in related quantitative fields including, but not limited to computational biology, bioinformatics, biophysics, biostatistics, computer science, statistics, bioengineering and physics. Applicants with i) strong quantitative background (computer science/statistics/physical modeling) or ii) computational genomics/proteomics experiences and large-scale biological data analysis capability are preferred. Strong programming skills in scripting language (Python or Perl), statistical and computing language (R or MATLAB), and/or programing language (C/C++ /Java) are highly desirable.
Applicants should have a Ph.D. degree (or equivalent) in biomedical sciences. Strong background in one or more of the following areas (a) molecular biology (b) biochemistry of RNA and/or transcription regulation, © protein expression and purification (bacterial and/or mammalian), (d) immunology, (e) T-cell biology, (f) cancer biology, and (g) phage display, yeast display or similar approaches. Mouse model experience, genomics/proteomics expertise is not required, but highly desirable.
All applicants should have good spoken and written communication skills. Interested applicants should send i) a cover letter briefly describing your previous experience and your future research interest/plan, ii) a curriculum vitae, and iii) contact information of at least three references to Dr. Yiwen Chen, email@example.com…
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