Date Posted: Aug 9, 2019
Application Deadline: Open Until Filled
A post-doctoral fellow position in bioinformatics and computational biology are immediately available for recent Ph.D. graduates in quantitative disciplines including bioinformatics, statistics, mathematics, physics, or other related fields. The research focuses are: i) Development of statistical and machine learning approaches for the optimization, analysis and interpretation of high-throughput CRISPR functional screen data. ii) Integration of genomic data and high-throughput functional screens to understand transcriptional and epigenetic regulations. A successful candidate will work closely with experimental biologists to use his/her computational expertise to leverage the information from internal and public datasets. The candidate must have a first or co-first authored publication in a highly regarded scientific journal and demonstrated ability of independent research. The candidate must be proficient at written and spoken English. Strong programming skills is preferred in at least one of the following languages: R, Python, Perl, C&C++, and Java. This position is located at the Science Park campus in Smithville, Texas. Please send a cover letter, CV, statement of research interest and contact information of 2-3 references via email to: firstname.lastname@example.org, Han Xu, PhD, Department of Molecular Carcinogenesis, The University of Texas MD Anderson Cancer Center, Science Park, Smithville, TX 78957.
M. D. Anderson Cancer Center is an equal opportunity employer and does not discriminate on basis of race, color, national origin, gender, sexual orientation, age, religion, disability or veteran status except where such distinction is required by law. All positions at The University of Texas M. D. Anderson Cancer Center are security sensitive and subject to examination of criminal history record information. Smoke-free and drug-free environment.