Post-Doctoral Fellowship in Genetic Epidemiology and Computational Genomics: Memorial Sloan Kettering Cancer Center

Job Locations USA-NY-New York
Posted Date 3 weeks ago(11/11/2022 2:47 PM)
Requisition ID

Company Overview

 Memorial Sloan Kettering Cancer Center (MSK), located in New York City, is one of the world’s premier cancer centers. MSK fosters an outstanding research environment spanning the continuum from basic to translational biomedical science, with vibrant training programs at the graduate and post-doctoral level, exceptional opportunities for multi-disciplinary collaborations, and unique resources to support genetic and computational studies of cancer (e.g., the Robert and Kate Niehaus Center for Inherited Cancer Genomics, Functional Genomics Initiative, and Marie-Josée and Henry R. Kravis Center for Molecular Oncology).

Job Description

We seek a postdoctoral fellow in genetic epidemiology and computational genomics to join an expanding research group focused on understanding the molecular underpinnings of inherited cancer susceptibility. The fellow will lead analytical studies of germline susceptibility to esophageal adenocarcinoma and its precursor lesion Barrett’s esophagus, with a primary focus on statistical fine-mapping, single-cell sequencing analysis, and functional bioinformatics. As an active member of an interdisciplinary research group, the fellow will build relationships with a range of scientific colleagues, publish peer-reviewed work, present at national conferences, and gain experience in grant writing.



Qualifications and attributes of the ideal candidate include:

  • A doctoral degree in biostatistics/bioinformatics, epidemiology, or related quantitative discipline.
  • Peer-reviewed publications in genetic epidemiology, statistical genetics/genomics, or related fields.
  • Interest in applying statistical and computational approaches to understand cancer susceptibility.
  • Strong understanding of quantitative methods, study design, and data analysis and interpretation.
  • Excellent coding skills in R and/or Python, and experience working on Linux-based clusters.
  • Familiarity with public bioinformatics resources such as Roadmap/ENCODE, GTEx, TCGA.
  • Self-motivated, resourceful, enthusiastic; solid verbal and written communication skills.



Interested applicants should send inquiries and applications to Dr. Matthew F. Buas (, Associate Attending, Departments of Epidemiology/Biostatistics and Clinical Genetics. Please include a brief letter of interest, C.V., and contact information for three references.


MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision.


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