The primary purpose of the Research Statistical Analyst position is to carry out data preparation responsibilities related to cancer clinical trials, develop skilled statistical programs, perform statistical analysis associated with clinical data and prepare written reports to investigators. In addition, this position prepares statistical considerations for basic trial designs... [More]

Originally posted on 2018-06-23 - Ends on 2018-08-22

We are seeking outstanding applicants for Postdoctoral positions to work on cancer genomic driven research under the supervision of Dr. Ken Chen in the Department of Bioinformatics and Computational Biology and in collaboration with the Sheik Khalifa bin Zayed Al Nahyan Institute for the Personalized Cancer Therapy at the MD Anderson Cancer Center. [More]

Originally posted on 2018-06-14 - Ends on 2018-08-13

The primary purpose of the Computational Scientist position is to apply bioinformatics algorithms and software tools for the analysis of high throughput omics biological and clinical data. This position is responsible for the development and application of high performance computational applications and pipelines to support the MD Anderson Proteomics [More]

Originally posted on 2018-06-10 - Ends on 2018-08-09

Computational analysis of multi-omics data for drug target detection. Discovery of novel drug combinations. Preparation of original research manuscripts. Assisting other members of the laboratory in their scientific projects. Assisting the PI in preperation of grant applications and manuscripts.  [More]

Originally posted on 2018-05-20 - Ends on 2018-07-19

The primary purpose of the Statistical Analyst position is to carry out data preparation responsibilities related to cancer clinical trials, develop skilled statistical programs, perform statistical analysis associated with clinical data and prepare written reports to investigators. In addition, this position performs biostatistical reviews of protocols.  [More]

Originally posted on 2018-04-30 - Ends on 2018-06-29

The primary purpose of the Research Assistant II is to provide technical and coordination skills in carrying out various research projects. Ideal candidate will have a strong computational background, proficiency in at least one programming language (e.g. R, Perl, Python, Java, C++) and knowledge of statistics are required. Training experience in machine learning, deep learning... [More]

Originally posted on 2018-04-27 - Ends on 2018-06-26

We are seeking outstanding applicants for Postdoctoral positions to work on cancer genomic driven research under the supervision of Dr. Ken Chen in the Department of Bioinformatics and Computational Biology and in collaboration with the Sheik Khalifa bin Zayed Al Nahyan Institute for the Personalized Cancer Therapy at the MD Anderson Cancer Center.  [More]

Originally posted on 2018-02-22

Both computational 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)... [More]

Originally posted on 2017-11-30

The primary purpose of the Research Statistical Analyst position is to carry out data preparation responsibilities related to cancer clinical trials and observational studies, develop skilled statistical programs, perform statistical analysis associated with clinical and observational study data and prepare written reports to investigators. In addition, this position prepares statistical considerations ... [More]

Originally posted on 2017-09-08

Bioinformatics postdoc positions are available in the department of Bioinformatics and Computational Biology at MD Anderson Cancer Center (MDACC). We aim to discover combination therapies with small molecules and immunotherapy agents to overcome resistance to targeted therapy in cancer. Our laboratory combines bioinformatics, cancer genomics, network inference and machine learning algorithms with drug perturbation and profiling experiments. [More]

Originally posted on 2017-09-07