Post Doctoral Fellowship in Biostatistics

Share
Print
Share
Print

We are seeking a highly motivated candidate, interested in clinical trial design, for a position as a postdoctoral fellow. This position will focus on design of cancer clinical trials in precision medicine and imaging with opportunities to work on methodological problems and design real clinical trials

The successful candidate should have solid methodological training in statistics, be comfortable developing simulations, and be proficient in R. Interest or expertise in Bayesian methods is preferred but not required. The successful applicant will be supervised by Dr. Mithat Gonen.

Applicants should hold a PhD degree in biostatistics, statistics or a related field. The successful candidate should have solid methodological training in statistics, be comfortable developing simulations, and be proficient in R. Interest or expertise in Bayesian methods is preferred but not required.

To apply, send a cover letter, CV, and the names of 3 references to Samantha Vasquez at vasques2@mskcc.org : Memorial Sloan Kettering Cancer Center, 485 Lexington Avenue, New York, NY 10017.

 

Second Post-Doctoral Position:

The Department of Epidemiology and Biostatistics is seeking a highly motivated and successful individual interested in statistical and computational genomics, for a position as a postdoctoral fellow. This position will focus on the integration of germline genetics and somatic alterations from large-scale sequencing, with a focus on molecular classification of glioma, breast cancer, and melanoma. The candidate will have the opportunity to lead the development of novel methodologies in understanding germline and somatic interactions and analysis of large-scale integrated genotyping and tumor sequencing cohorts. The successful applicant will be supervised jointly by Drs. Ronglai Shen, Colin Begg and Jonine Bernstein.

The ideal candidate should have:

  • A Ph.D. degree in biostatistics, statistics, bioinformatics, or a related field, ideally with experience in NGS sequencing data analysis including whole-exomes and whole-genomes.
  • The successful candidate should have solid methodological training in statistics, be comfortable working with large data sets and proficient in at least one of the statistical programming languages R/Matlab/Python.
  • The successful candidate will have experience working on Unix/Linux systems and basic shell scripting.

Please send CV, a letter outlining your interest and names/contact information of three references via email to: Samantha Vasquez, Assistant to the Chairman, vasques2@mskcc.org & Ronglai Shen, PhD, Associate Attending Biostatistician, shenr@mskcc.org.