We are seeking outstanding applicants for Postdoctoral positions to work at the intersection of cancer genomics, cancer immunology, single-cell omics and artificial intelligence under the supervision of Dr. Ken Chen (faculty.mdanderson.org/Ken_Chen/) in the Department of Bioinformatics and Computational Biology.
Dr. Ken Chen had over 15-year professional experience in computational cancer biology in the context of cutting-edge cancer research. His lab focuses on characterizing the genomic, transcriptomic and proteomic profiles of patient’s tumor samples and match with evidence-based targeted- and immuno- therapies (Personalized therapy of Cancer) for better outcomes. New high-throughput technologies such as single-cell sequencing and mass cytometry are often utilized to dissect novel cell types and identify underlying molecular mechanisms that are involved in pathogenesis. The lab has been well funded by NIH, the Cancer Prevention and Research Institute of Texas, Chan-Zuckerberg Initiative, Andy Sabin Foundations, and MD Anderson Moonshots with lots of collaborative opportunities in the area of immunotherapy and targeted therapy. Former trainees in the lab have routinely published first-author papers in top computational biology journals such as Nature Methods and have secured leadership positions in either academia or industry. More information about the lab is available at sites.google.com/view/kchenlab/Home
MD Anderson Cancer Center has topped U.S. News & World Report’s “America’s Best Hospitals” ranking seven times in the past nine years. A highly collaborative environment between the Departments of Systems Biology and the Department of Bioinformatics and Computational Biology has brought together medical professionals, software engineers, molecular biologists, and computational biologists to provide an environment where creative research is encouraged.
Salary: $65,000 per year
Benefits: employee, visa sponsorship
We are recruiting creative, enthusiastic recent PhD graduates, who would like to develop a professional career in biomedical/cancer research and have
- Ph.D. in Bioinformatics/Biostats, Math/Statistics/Physics, Computer Science/Engineering
- Experience analyzing and interpreting high-throughput data such as DNA and RNA sequencing, microarray and single-cell data
- Experience developing and disseminating novel computational tools
- Proficient in programming languages such as Python, R, Java, Matlab, C/C++
- At least 2 first-author publications in peer reviewed journals.
Send introductory email, CV and name of references