Career Opportunities

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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 Positions in Computational Oncology

The Computational Oncology Program at Memorial Sloan Kettering Cancer Center (MSK) is inviting applications for tenure track faculty positions at the level of Assistant and Associate Member. Cancer research has firmly moved towards quantitative and data driven science. Responding to this challenge, we are seeking exceptional early to mid-career candidates to develop independent research programs that will grow and advance computationally focused cancer research at MSK. We are seeking candidates to develop innovative research programs to drive computational methods development and applied translational data analysis in cancer biology and clinical care. For example:

  • Single cell dynamics of tumors, covering the contexts of drug response, modeling clonal evolution and the tumor microenvironment. Interests in computational methods for single cell ‘omics, cellular imaging, spatial transcriptomics and proteomics
  • AI and machine learning in oncology including multimodal data integration (e.g. genomics with clinical data), medical and cellular imaging, digital pathology
  • Cancer genomics including clinical germline and somatic genetics, endogenous and exogenous mutational processes, structural variations and genomic instability
  • Longitudinal analysis of timeseries data such as cell free DNA, laboratory medicine data, radiologic data
  • The cancer microbiome
  • Drug sensitivity and resistance mechanisms
  • Other emerging areas in cancer research

This year, MSK is conducting a search for two positions - one with a specific focus in computational pathology, to be recruited jointly with the Warren Alpert Center for Digital and Computational Pathology in the Department of Pathology. 

Eligible candidates will have a PhD in Bioinformatics, Computational Biology, Computer Science, Mathematics, Statistics or a related discipline. Candidates with strong backgrounds in machine learning/AI, algorithm development, mathematical modeling and/or data science and bioinformatics with proven publication track records in biomedical research and/or data-driven discovery are strongly encouraged to apply.

Our program is located at the newly created Computational Oncology Research Campus of MSK, encompassing the Computational Oncology research laboratories, and flanked by other computational groups such as clinical bioinformatics, radiology informatics, high performance computing, the Marie-Josée and Henry R. Kravis Center for Molecular Oncology (CMO) Computational Sciences and Technology Innovation groups. Our faculty develop fully independent computational research programs, collaborating extensively with clinical colleagues at MSK across all disease areas. Our faculty are eligible to hold appointments in the Gerstner Sloan-Kettering Graduate School of Biomedical Sciences, the Weill Cornell Medical College (WCMC) Graduate School and the Tri-Institutional Computational Biology for Medicine program across MSK and WCMC, providing access to exceptional graduate students. 

We seek candidates committed to advancing diversity, equity and inclusion (DEI) in our research community. At MSK, diversity encompasses the variety of personal experiences, values and worldviews that result from differences in race, ethnicity, gender, age, religion, national origin, language, abilities/disabilities, sexual orientations, socioeconomic status, geographic region and more. Please in one page describe: What are your plans to promote diversity as a faculty member and a lab head in the future. 

 

Please send curriculum vitae, a summary of current and proposed research programs, one page description on your plans to promote DEI as a faculty member, and arrange for three letters of recommendation to be sent to:

Dr. Sohrab Shah, Chief Computational Oncology

c/o Cristina Radu

Memorial Sloan Kettering Cancer Center

321 East 61st Street

2nd floor

New York, NY 10065

E-mail: CompOncBST@mskcc.org

Applications should be received by January 4th, 2021. To learn more about Computational Oncology, please visit: http://CompOncMSK.org 

 

Post Doctoral Fellowship in Medical Physics/Biostatistics

We are seeking a highly motivated candidate, interested in biostatistics and bioinformatics, for a position as a postdoctoral fellow. This position will focus on machine learning-based modeling of outcomes on genome-wide association studies (GWAS) that include radiation and genetics (e.g., the Women’s Environmental Cancer and Radiation Epidemiology (WECARE) Study and REQUITE Study).

The ideal candidate should have:

  • PhD degree in bioinformatics, computer science, biostatistics, statistics, physics or a related field
  • Experience in predictive modeling using machine learning techniques
  • Experience in analyzing large data sets, be proficient in at least one of the statistical programming languages R/Matlab/Python and have experience working on Unix/Linux systems and basic shell scripting

Experience in GWAS data analysis would be advantageous, but is not necessary.

Please send CV, a letter outlining your interest and names/contact information of three references via email to:

Jung Hun Oh, PhD

Assistant Attending, Department of Medical Physics

ohj@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 fill an open-rank faculty position. The individual will have the opportunity to pursue independent research interests, use modern analytic and computational methods while collaborating with investigators studying the full spectrum of problems in cancer research, and become a leader throughout the institution and the oncology community in cancer research methods. The ideal 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.

Successful candidates will join an existing group of 45 biostatisticians (19 faculty and 26 research staff), which include five ASA fellows, editors of leading journals, and presidents of international societies. The current interests of the faculty include methodology for the design and analysis of clinical trials, epidemiologic studies, genomics, latent variable modeling, diagnostic test evaluations, survival analysis, computer intensive methods, hierarchical modeling, and Bayesian techniques (http://www.mskcc.org/biostat).

The department offers exciting opportunities for growth and development at all levels. The position is located in the heart of Manhattan, a vibrant, multi-cultural city that is home to world-class restaurants, museums, and theater. MSKCC offers comprehensive benefits for individuals and family members. Applicants with any level of experience are invited to apply. Send a cover letter, curriculum vitae, and the names and contact information for at least three references to Samantha Vasquez at vasques2@mskcc.org.

MSKCC 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.

 

Doctoral-Level Biostatistician

The Department of Epidemiology and Biostatistics, a group made up of 35 doctoral and MS level biostatisticians, is seeking a highly motivated and successful individual to join them at the doctoral level in the newly created track of Principal Biostatistician. The primary responsibilities of this position are to:

  • Participate in collaborative research between the Biostatistics Service and one or more of clinical, translational and basic science groups in the institution;
  • Depending on the nature of the collaboration, take full responsibility for all aspects of the collaboration, or participate along with a faculty biostatistician;
  • In the context of a collaboration study, supervise the work of a research biostatistician or a data analyst.

Please attach in your application (1) CV, (2) a letter outlining your interest, and (3) names/contact information of three references.

 

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 developing novel designs for adaptive clinical trials in oncology based on machine learning algorithms. Patient-level data on biomarkers and treatment responses extracted from past oncology trials will be used to train predictive algorithms for the outcomes of patients enrolled in a new study. Validated predictions will be used to implement sequential decision rules that may change the study conduct—e.g. stopping enrollment of patients from subgroups where the experimental therapy is unlikely to provide a benefit.

The successful applicant will be supervised jointly by Dr. Andrea Arfè and Dr. Mithat Gonen. The applicant will also collaborate with medical researchers in oncology.

Applicants should hold a PhD degree in biostatistics, statistics, machine learning 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 and/or reinforcement learning is preferred but not required.

To apply, send a cover letter, CV, and the names of 3 references to Jovana Olaizola, olaizolj@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 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).

 

Post Doctoral Fellowship in Cancer Epidemiology and Health Disparities Research

We seek a postdoctoral fellow in cancer epidemiology, with an emphasis on health disparities, to join Dr. Margaret Du’s team in the Epidemiology Service. The fellow will lead projects in a wide breadth of population-based research to reduce the burden of colorectal, endometrial, and pancreatic cancers. Examples of topics include colorectal cancer genomics and risk factors in Nigeria, uncovering factors that drive the more than 2-fold higher mortality in Black patients with endometrial cancer, and pancreatic cancer risk factors and early detection/surveillance, among others. The fellow will be an active member of international cross-disciplinary research teams as well as publish peer-reviewed work, present at scientific conferences, and gain experience in grant writing.

The ideal candidate will have:

  • A doctoral degree in epidemiology or related quantitative discipline, including but not limited to biostatistics, public health, or cancer biology.
  • Enthusiasm and creativity for understanding cancer epidemiology or health disparities.
  • Peer-reviewed publications in epidemiology or related quantitative field.
  • Strong understanding of quantitative methods, study design, and data analysis and interpretation.
  • Comfort working with large data sets and proficiency in a statistical programming language, including but not limited to R, SAS, or Stata.
  • Strong verbal and written communication skills.

Please direct inquiries to dumeng@mskcc.org. Interested applicants should send a letter of interest, curriculum vitae, and contact information for three references to:

Samantha Vasquez

Assistant to the Chairman

vasques2@mskcc.org

&

Margaret Du, ScD

Assistant Attending Epidemiologist

dumeng@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.

 

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.