Career Opportunities

The Department is always growing and expanding.  Below are some of the open positions in the department with descriptions and methods of applying. 

For staff positions, please explore http://careers.mskcc.org/

Faculty Position in Epidemiology

Applications are invited for a faculty appointment in the Department of Epidemiology and Biostatistics. We seek a colleague who will build a program of independent research in cancer epidemiology in a multidisciplinary collaborative environment located in a major academic cancer center.

The MSK environment encourages and provides unparalleled opportunities for fostering multi-disciplinary collaborations with clinicians, geneticists, pathologists, biostatisticians, cancer biologists and others involved in cancer research as well as patient care. Our large patient population, coupled with the extensive core facilities and distinguished research tradition provides exciting opportunities and a dynamic environment for the creation of an independent research program in epidemiology. Unique features of the institution include access to considerable numbers of rare cancer types, patients with double malignancies or other known genetic syndromes, and rapid access to large populations of patients with more common types of cancer. There are also numerous opportunities to build upon and expand existing on-going epidemiologic investigations.

Candidates at all levels of experience are encouraged to apply, with the appointment at an appropriate academic rank. Applicants should hold a PhD or an MD with post-doctoral research training. MSKCC is an equal opportunity employer with generous compensation and benefits packages. Please send a cover letter, CV, research statement, and contact information for 3 references to the address below. Information about the Department is available at http://www.mskcc.org/research/epidemiology-biostatistics/epidemiology.

Samantha Vasquez
[Epidemiology Search]
Assistant to the Chairman
Department of Epidemiology and Biostatistics
Memorial Sloan Kettering Cancer Center
485 Lexington Avenue, 2nd floor
New York, NY 10017
vasques2@mskcc.org

Faculty Position in Biostatistics

Memorial Sloan Kettering Cancer Center is seeking a doctoral-level biostatistician to join an existing group of 35 biostatisticians (17 faculty and 18 research staff). Departmental members engage in collaborative research with investigators studying the full spectrum of problems in cancer research, and pursue their independent research interests. The current interests of the faculty include methodology for the design and analysis of clinical trials, epidemiologic studies, genomics, statistical genetics, diagnostic test evaluations, survival analysis, computer intensive methods, hierarchical modeling, and Bayesian techniques. The successful applicant must have a strong commitment to statistical collaborations with medical or basic science investigators, excellent communication skills, and an interest in pursuing independent methodological research. Applicants with any level of experience are invited to apply. Send a cover letter, a curriculum vitae, and the names and contact information for at least three references to vasques2@mskcc.org.

Academic Positions in Computational Oncology

Memorial Sloan Kettering Cancer Center (MSK) is offering an unprecedented academic opportunity for new research faculty to join our recently expanded computational oncology initiative, under the leadership of Sohrab Shah, PhD.  We seek to develop and grow world-leading research excellence in new areas of computational analysis as applied to high dimensional clinical and biological data.  For example, in a major institutional initiative MSK has performed prospective clinical tumor sequencing on over 20,000 patients, leading to exciting and unique opportunities to deploy data science, machine learning and artificial intelligence methods at scale. Furthermore, new technologies such as single cell sequencing applied to the study of cancer evolution and cell population dynamics in cancer are now widely deployed but demand new analytical techniques in order to optimally interpret biological properties.  Our goals are focused on extracting new and meaningful properties from these and other datasets to develop and improve diagnostic and prognostic tools and to further biological discovery. 

We seek to recruit early and mid-career investigators with expertise in the fields of artificial intelligence, machine learning, statistics or computer science to develop independent research programs in the sub-disciplines of computational biology and bioinformatics applied to cancer.  Areas of emphasis include but are not limited to: multi-modal clinical data integration (e.g. cross-sectional imaging, digital histopathology and genomics); and mathematical and statistical modeling of cancer evolution (e.g. analysis and interpretation on single cell genomics/transcriptomics/epigenomics data).  Applicants must possess a PhD in Bioinformatics, Computational Biology, Computer Science, Statistics or a related discipline and a demonstrated track record of excellence in academic research productivity.  Interested candidates should send a cover letter indicating the reason for the application, curriculum vitae, research plan and the names and contact information for at least 3 references to Cynthia Berry at berryc@mskcc.org (646-888-8124) [Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, Zuckerman 417 E68th Street Z-578, New York, NY 10065].

Memorial Sloan Kettering Cancer Center is an equal opportunity employer with a strong commitment to enhancing the diversity of its faculty and staff. Women and applicants from diverse racial, ethnic and cultural backgrounds are encouraged to apply.

Post Doctoral Fellowship in Computational Oncology

We are seeking highly motivated postdoctoral fellows to join Dr. Sohrab Shah’s new laboratory at Memorial Sloan Kettering Cancer Center in New York. We are establishing a significant new initiative in the field of Computational Oncology motivated by new advances in machine learning and AI tools, ultra-high resolution measurement technologies and massive high dimensional datasets available at MSKCC. Trainees in this new endeavor will help define the future of computing as it relates to understanding cancer and advancing cancer care.  We are seeking early career scientists with research expertise and interest in computational biology and bioinformatics to lead projects in cancer evolution, single cell genomics, mutational processes and timeseries analysis of drug response. Applicants should have an interest in algorithms, mathematical and statistical modeling, Bayesian statistics and/or artificial intelligence applied to cancer focused problems. Applicants must possess a PhD in relevant discipline such as computer science, statistics, data science, bioinformatics and computational biology and have a demonstrated publication track record. Candidates seeking an academic or industry career are encouraged to apply. A background in cancer biology especially in ovarian or breast cancer would be considered an asset.

Interested candidates should send a cover letter indicating the reason for the application, curriculum vitae, and the names and contact information for 3 references to Cynthia Berry at berryc@mskcc.org (646-888-8124) [Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, Zuckerman 417 E68th Street Z-578, New York, NY 10065].

Post Doctoral Fellowship in Biostatistics

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.

Post Doctoral Fellowship in Biostatistics

We are seeking a highly motivated candidate, interested in sequencing data analysis, for a position as a postdoctoral fellow.

The successful candidate should have solid methodological training in (bio)statistics, be comfortable developing simulations, and be proficient in R. Prior experience with genomics data analysis is a plus.

The successful applicant will work with Dr. Li-Xuan Qin to develop novel statistical methods and software tools for preprocessing and analyzing deep sequencing data, including microRNA-seq and single-cell-seq. S/he will have the opportunity to study carefully benchmarked empirical data, develop preprocessing methods in connection with downstream analysis, and apply the methods to ongoing cancer studies in collaboration with experimentalists and clinicians at MSK and other institutes.

To apply, send a cover letter, CV, and the names of 3 references to Samantha Vasquez (vasques2@mskcc.org).

Research Biostatistician

Research Biostatisticians work as members of a team of statisticians who are engaged in a wide variety of collaborative projects in clinical, laboratory and cancer prevention research (See Faculty Position in Biostatistics). A three level promotional track supports professional development which is fostered through direct supervision of work and regular participation in Service activities such as the Design Workshop, guest and faculty seminars, and the Journal Club. These positions require a Master’s degree in biostatistics or statistics, proficiency in statistical software packages, database manipulation, and good verbal and written communications skills.
If interested, please contact epibiostats@mskcc.org.

Programmer/Analyst Positions in the Computing Resource

Programmer/Analyst positions exist at several levels. All team members participate in multiple clinical research applications and computer system development projects simultaneously. Team members come with experience in relational database methodology (Oracle preferred), knowledge of SQL and C ++ languages and UNIX and NT System Administration. Staff members participate actively in design collaborations; therefore good verbal and written communication skills are helpful.

To apply: http://careers.mskcc.org/job/7839765/application-analyst-j2ee-new-york-ny/

Research Epidemiologist

Research Epidemiologists work as members of the Epidemiology group, engaged in studying the etiology of cancers, the genetic predisposition for cancers, and other avenues of prevention research (See Faculty Position, Epidemiology). A two level promotional track supports professional development which is fostered through direct supervision of work and regular participation in activities such as seminars, and the Epidemiology Journal Club. These positions require a Master’s degree in Epidemiology and/or Public Health, experience in statistical software packages, database manipulation, and good verbal and written communications skills.

Keep an eye on the page in the future for open positions.

Outcomes Research Epidemiologist

Outcomes Research Epidemiologists work as members of the Outcomes Research Group studying patterns and delivery of cancer treatments as well as the outcomes of these treatments. These positions require a Master’s degree in Epidemiology and/or Public Health, excellence in the analysis of data and writing of SAS queries and programs, experience with large database manipulations, and good verbal and written communications skills.

Keep an eye on the page in the future for open positions.