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 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 in the direction of quantitative and data driven science. Responding to this challenge, we are seeking exceptional early to mid-career candidates to develop independent research programs and join our efforts to grow and advance computationally focused cancer research at MSK. We are seeking candidates to join our faculty with research interests in (but not limited to) single cell profiling (all modalities - genome, transcriptome, proteome, epigenome, etc…), AI methods for medical and cellular imaging, cancer evolution, large scale clinical genomics, spatial transcriptomics, the tumor microenvironment & immunogenomics, longitudinal timeseries analysis, drug response, the cancer microbiome, and other cancer-related disciplines. Candidates’ research objectives can span questions in basic cancer biology, clinical translation, computational methods, and/or large-scale data analysis. 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 a newly created computational campus of MSK, encompassing the Computational Oncology research laboratories, 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, often collaborating extensively with the clinical faculty at MSK across all disease areas, providing unique opportunities to integrate clinical datasets into computational research. Opportunities to establish collaborations with faculty in other programs including, for example, the Human Oncology and Pathogenesis Program, the CMO, the David M. Rubenstein Center for Pancreatic Cancer Research, the Parker Institute for Cancer Immunotherapy are highly supported and encouraged.
Faculty will also be eligible to hold appointments in 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.
Please send curriculum vitae, a summary of current and proposed research programs, and arrange for three letters of recommendation to be sent to: Sohrab P Shah, Chief Computational Oncology, c/o Cynthia Berry, Memorial Sloan Kettering Cancer Center, 417 East 68th Street ZRC 581, New York, NY 10065; E-mail: CompOncBST@mskcc.org.
Applications should be received by December 1, 2019. Memorial Sloan Kettering Cancer Center is an affirmative action, 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. To learn more about Computational Oncology, please visit: http://CompOncMSK.org.
Post Doctoral Fellowship in Computational Oncology
We are seeking candidates for a postdoctoral fellowship in the Reznik lab at Memorial Sloan Kettering Cancer Center (MSKCC) to study tumor metabolism through computational analysis of metabolomic and genetic data. An energetic and creative scientist with a background in computational models of metabolism, genomics, or machine learning is sought to lead new studies of metabolic interactions in the tumor microenvironment, tumor evolution, and therapeutic resistance. The fellow will join a diverse group of quantitative geneticists, genomicists, and machine learners embedded in the Computational Oncology Service, a new initiative dedicated to translational, data-driven cancer science and tightly integrated with the work of MSK’s clinicians. Applicants must possess a PhD in a quantitative discipline, including but not limited to computational biology, computer science, machine learning, or applied mathematics. A background in metabolomics or cancer genomics is an asset but not required.
Interested candidates should send a cover letter, curriculum vitae, and contact information for 3 references to Ed Reznik (firstname.lastname@example.org). Learn more about the group at https://componcmsk.org/reznik-lab/
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
Faculty Position in Health Services Research and Health Policy
We are seeking an investigator with interests in health services research and health care policy to join the Health Outcomes Research Group at Memorial Sloan Kettering Cancer Center. The successful applicant will be expected to develop a program of independent research. Our investigators have interests in many aspects of the health care delivery system including variation in quality, practice and outcomes, risk prediction and screening for cancer, pharmaceutical pricing, health economics, and cancer survivorship. The academic position will be housed within the Department of Epidemiology and Biostatistics (Chair, Colin Begg). The position may also be affiliatedwith the Institution’s Center for Health Policy and Outcomes (Director, Peter Bach). Applicants should hold an MD with post-graduate training in a quantitative discipline, or a PhD in health services research or a related discipline with, ideally, post-doctoral training. Candidates of all academic ranks will be considered.
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. We offer an excellent salary and comprehensive benefits. To apply, please send a cover letter outlining your interests in the position, curriculum vitae, and the names and contact information of 3 references to: Evelyn Vargas, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering, 485 Lexington Avenue, New York, NY 10017; or email: email@example.com.
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.
Assistant to the Chairman
Department of Epidemiology and Biostatistics
Memorial Sloan Kettering Cancer Center
485 Lexington Avenue, 2nd floor
New York, NY 10017
Faculty Position in Biostatistics
Memorial Sloan Kettering Cancer Center is seeking doctoral-level biostatisticians to fill multiple open-rank faculty positions. Individuals will have the opportunity to engage in collaborative research with investigators studying the full spectrum of problems in cancer research, pursue their independent research interests, provide mentoring to junior faculty, and become leaders 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 41 biostatisticians (16 faculty and 25 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, statistical genetics, 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 firstname.lastname@example.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.
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 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 email@example.com : Memorial Sloan Kettering Cancer Center, 485 Lexington Avenue, New York, NY 10017.
Post Doctoral Fellowship in Biostatistics
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, firstname.lastname@example.org & Ronglai Shen, PhD, Associate Attending Biostatistician, email@example.com.
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 (firstname.lastname@example.org).
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 email@example.com.
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.