Postdoctal fellow on statistical cancer genomics, single-cell and/or immunology
University of Texas MD Anderson Cancer Center
USA-TX
We are seeking outstanding applicants for postdoctoral positions to work at the intersection of cancer genomics, DNA/RNA genetics, cancer immunology, single-cell omics and artificial intelligence under the supervision of Dr. Ken Chen (
http://faculty.mdanderson.org/Ken_Chen/) in the Department of Bioinformatics and Computational Biology.
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
https://sites.google.com/view/kchenlab/Home
Qualifications
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 mass cytometry 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.
Job Information
Start Date: January 01, 2021
Duration: Full Time
Status: Open
Contact Information
University of Texas MD Anderson Cancer Center
Bioinformatics and Computational Biology
Ken Chen
How To Apply:
Send an introductory email with CV/resume attached