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 careers.mskcc.org.
Biostatistics
Postdoctoral Fellowship in Biostatistics
We are seeking a highly motivated postdoctoral fellow with a strong interest in developing new statistical and computational methods in cancer research. Our group collaborates closely with physicians and biologists to study antitumor immune responses using rich cutting-edge in-house omics datasets, including single-cell RNA sequencing (scRNA-seq), spatial transcriptomics (ST), and hyperplex immunofluorescence (hIF), derived from tissue samples of cancer patients treated with radiotherapy. The successful candidate will have the opportunity to lead the development of novel statistical and computational approaches while collaborating with world-leading oncology experts to drive scientific discoveries through real-world data applications.
Applicants should hold a Ph.D. degree in biostatistics, statistics, bioinformatics, computational biology, or a related field, ideally with experience in omics data analysis, imaging data analysis, and modern computational platforms (such as PyTorch and Pyro). The ideal candidate should have a strong background in statistics, be comfortable working with large datasets, and be proficient in at least one statistical programming languages (e.g., Python, R). Experience with Unix/Linux systems and basic shell scripting is also required.
To apply, send a cover letter, cv, and the names of 3 references to Dr. Xinjun Wang ([email protected]).
Applications will be reviewed on a rolling basis, with a deadline of June 20, 2025.
Postdoctoral Fellowship in Biostatistics
We are seeking a highly motivated candidate, interested in statistical and computational methods development and application in immuno-oncology studies, for a position as a postdoctoral fellow. Our group has curated a rich dataset of single cell immune profiling of the blood and tissue samples from cancer patients treated with immunotherapy, including flow cytometry, spatial transcriptomics, and co-registered multiplexed immunofluorescence (mIF) staining and H&E images with rich clinical annotation. The candidate will have the opportunity to lead the development of novel statistical and computational approaches and work with world’s leading immuno-oncology experts.
Applicants should hold a Ph.D. degree in biostatistics, statistics, bioinformatics, or a related field, ideally with experience in high dimensional data analysis and deep learning. The successful candidate should have solid methodological training in statistics, be comfortable working with large data sets, proficient in at least one of the statistical programming languages Python/R, and have experience in working on Unix/Linux systems and basic shell scripting.
To apply, send a cover letter, cv, and the names of 3 references to Ronglai Shen ([email protected]): Memorial Sloan Kettering Cancer Center.
OPTICS T32 Postdoctoral Fellowship
Population Health Sciences research is a multi-disciplinary field devoted to improving the healthcare of individuals and the health of populations through rigorous studies focused on multiple determinants of health and health disparities across populations. Population health scientists are focused on evaluating the causes and detection and control of cancer to identifying factors that increase the risk and recurrence of cancer and increasing quality of life among cancer survivors. By developing creative and innovative ways to study the causes of cancer and determine how it can be detected early or prevented, population health research is expansive and includes studies examining cancer risk factors, personalized medicine, screening and prevention, health disparities, the unmet needs of cancer survivors and the cost of healthcare.
Memorial Sloan Kettering Cancer Center (MSK) welcomes applications for Postdoctoral Fellows who wish to pursue mentored training in Oncology-Focused Population Sciences with a focus on improving healthcare delivery for individuals and to advance health population health science. . MDs and PhDs who wish to pursue advanced research training and receive intensive mentorship in any area of cancer-focused population sciences are encouraged to apply. This training program, OPTICS (Oncology focused Postdoctoral Training In Care Delivery and Symptom Science) is funded by an NCI-T32. It affords trainees protected time, individual mentoring, and access to resources to support intensive focus on an impactful research project. Examples of past research projects conducted by fellows include but not limited to:
- Identified racial disparity in endometrial cancer outcomes
- Examined care delivery gaps in telemedicine
- Developed Integrative Medicine intervention for pain in young and adolescent cancer survivors
- Defined quality of life in patients living with rare cancer
- Evaluated the feasibility of exercise to improve cardiopulmonary function during active treatment
- Predicted immunotherapy related toxicities (e.g. GI, cardiology, endocrine) using novel biomarkers and data analytic methods
Inquiries about eligibility may be made to Samantha Vasquez at [email protected]. You must hold an MD or PhD and be a US citizen or green card holder to apply.
Inquiries about the program may also be made to the OPTICS Program Directors:
Katherine Panageas DrPH: Data Science track [email protected]
Deb Schrag MD: Care Delivery track [email protected]
Jonine Bernstein PhD: Risk Mitigation (Epidemiology) track [email protected]
Jun Mao MD: Symptom Science track [email protected]
To apply, please visit www.mskcc.org/optics for instructions on how to submit the application form, CV, letter of interest, career statement, and two letters of support to Samantha Vasquez. Applications are due by Friday, January 31, 2025.
Training begins July 2025 and funding is available for 2 years.
Visit the website www.mskcc.org/optics for more information about training program and faculty research expertise.
Computational Oncology
Faculty Position in Computational Oncology, Memorial Sloan Kettering Cancer Center
Faculty Position in Computational Oncology, Memorial Sloan Kettering Cancer Center
The Computational Oncology Program at Memorial Sloan Kettering Cancer Center (MSK) is inviting applications for tenure track faculty positions. We are seeking exceptional candidates to join our faculty and develop independent investigator-led, computationally-focused cancer research programs. The Computational Oncology Program at MSK has grown to eleven faculty members who have created a vibrant, dynamic and collaborative scientific community in the field of computational oncology. Successful candidates will join this community and will be supported to develop world-leading independent scientific programs to advance our understanding of cancer biology. Newly appointed faculty will be expected to conduct next generation translational research focused on cancer and driven by data science, artificial intelligence, machine learning, computer science, computational biology and other quantitative fields. You will have the opportunity to collaborate with exceptional clinician-scientists, generate unique experimental data, analyze unique and best in class real-world datasets and to study biospecimens derived from the MSK patient population. In addition, successful candidates will join the newly formed Halvorsen Center for Computational Oncology.
Areas of particular interest include but are not limited to:
- Single cell dynamics and spatial biology of tumors
- Anti-tumor immunity and immuno-oncology
- Drug sensitivity and resistance mechanisms
- Artificial intelligence and analysis of real world & clinical data from patients including computational pathology, medical imaging and large language models for EHRs
- Multimodal data integration (e.g. genomics with clinical data & pathology images or multi-omic integration)
- Computational method development for any of the above areas
- Other emerging areas in cancer research
Eligible candidates will have a PhD or MD/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, data science or data-driven discovery are strongly encouraged to apply.
Our program is located at the newly created Computational Oncology Research Campus of MSK on the Upper East Side of New York, in close proximity to Memorial Hospital, Weill Cornell Medical College, and Rockefeller University. 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 & Medicine program across MSK and WCMC, providing access to exceptional graduate students.
We seek candidates committed to advancing equity, diversity, and inclusion (ED&I) in our research community. Moreover, 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.
Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.
Salary Range $150,000 - $400,000
Please send your cover letter, curriculum vitae, a summary of current and proposed research programs, and arrange for three letters of recommendation to be sent to: Dr. Sohrab Shah, Chief of Computational Oncology, c/o Cristina Radu, Memorial Sloan Kettering Cancer Center, 321 East 61st Street 4th floor, New York, NY 10065; E-mail: [email protected].
Applications should be received by 12/01/2024. To learn more about recent advances from our Computational Oncology labs, please visit: http://CompOncMSK.org/news.
Postdoctoral Fellow in computational single-cell genomics
The newly formed Soldatov lab is seeking to recruit Postdoctoral Fellows to join us at Memorial Sloan Kettering Cancer Center (MSKCC) in New York. The lab is part of a dynamic and highly collaborative Computational Oncology Program, a significant new initiative in the field of Computational Oncology. Motivated by new advances in machine learning and high-resolution sequencing and imaging technologies, the group is focused on important questions arising in understanding normal tissue function and disease dynamics of cancers. Successful candidates will drive key research questions that cross cut the themes of somatic evolution, regulation of cell fate decisions, and organization of the microenvironment. The projects will involve analysis of multi-omics, pooled perturbations and spatially-resolved datasets. The candidates will have an opportunity to focus on developing computational methods, work on ambitious collaborative projects and develop new projects. Lab website: https://componcmsk.org/quantitative-cell-dynamics-soldatov.
Positions are available for candidates who have or will soon have a PhD and a demonstrated track research record in the fields of functional genomics, transcriptomics, computational biology, bioinformatics or related discipline (computer science, physics, data science, statistics). Applications will be considered on scientific merit and we seek to support gender, racial, ethnic, and other underrepresented groups in biomedical sciences, including exceptional candidates for The Henry and Alexia Fernandez Computational Oncology Fellowship. MSK provides strong support for the development of postdocs, competitive salaries and benefits.
Click here to apply: https://careers.mskcc.org/vacancies/2023-66684-postdoctoral-fellow-in-computational-single-cell-genomics/
Epidemiology
Postdoctoral Fellowship in Genetic Epidemiology
We are seeking highly talented and motivated candidates interested in quantitative epidemiology and radiogenomics research in breast cancer and glioma. The successful candidate will join the interdisciplinary research teams of Drs. Jonine Bernstein and Ronglai Shen bridging both the Epidemiology and Biostatistics Services. The fellow will primarily devote time to NCI-funded multi-center research studies focused on understanding the joint roles of genetics and treatment in the etiology of breast cancer and glioma. However, there will also be opportunities to develop epidemiologic studies focused on imaging biomarkers of cancer risk, cancer treatment-related issues including the influence of radiation therapy on non-cancer outcomes, and genetic predisposition to cancer. The fellow will play a leading role on research projects, have the chance to present research findings at national scientific meetings, develop grant writing skills and to learn from a cadre of other postdoctoral fellows and mentors.
The ideal candidate should have:
- A doctoral degree in epidemiology, biostatistics, or a related quantitative discipline, including but not limited to population health, genetic/molecular, genetics, statistical genetics or environmental health.
- Strong understanding of quantitative methods, study design, data analysis, and interpretation.
- Experience working with large genetic and population-based data sets, SEER, and proficiency in a statistical programming language, including R/python or SAS.
- Strong verbal and written communication skills.
The position is open immediately until filled. Interested applicants are invited to submit their CV, a career statement outlining their interest, and the names/contact information of three references to:
Emilie Childs
Senior Administrative Assistant
OPTICS T32 Postdoctoral Fellowship
Population Health Sciences research is a multi-disciplinary field devoted to improving the healthcare of individuals and the health of populations through rigorous studies focused on multiple determinants of health and health disparities across populations. Population health scientists are focused on evaluating the causes and detection and control of cancer to identifying factors that increase the risk and recurrence of cancer and increasing quality of life among cancer survivors. By developing creative and innovative ways to study the causes of cancer and determine how it can be detected early or prevented, population health research is expansive and includes studies examining cancer risk factors, personalized medicine, screening and prevention, health disparities, the unmet needs of cancer survivors and the cost of healthcare.
Memorial Sloan Kettering Cancer Center (MSK) welcomes applications for Postdoctoral Fellows who wish to pursue mentored training in Oncology-Focused Population Sciences with a focus on improving healthcare delivery for individuals and to advance health population health science. . MDs and PhDs who wish to pursue advanced research training and receive intensive mentorship in any area of cancer-focused population sciences are encouraged to apply. This training program, OPTICS (Oncology focused Postdoctoral Training In Care Delivery and Symptom Science) is funded by an NCI-T32. It affords trainees protected time, individual mentoring, and access to resources to support intensive focus on an impactful research project. Examples of past research projects conducted by fellows include but not limited to:
- Identified racial disparity in endometrial cancer outcomes
- Examined care delivery gaps in telemedicine
- Developed Integrative Medicine intervention for pain in young and adolescent cancer survivors
- Defined quality of life in patients living with rare cancer
- Evaluated the feasibility of exercise to improve cardiopulmonary function during active treatment
- Predicted immunotherapy related toxicities (e.g. GI, cardiology, endocrine) using novel biomarkers and data analytic methods
Inquiries about eligibility may be made to Samantha Vasquez at [email protected]. You must hold an MD or PhD and be a US citizen or green card holder to apply.
Inquiries about the program may also be made to the OPTICS Program Directors:
Katherine Panageas DrPH: Data Science track [email protected]
Deb Schrag MD: Care Delivery track [email protected]
Jonine Bernstein PhD: Risk Mitigation (Epidemiology) track [email protected]
Jun Mao MD: Symptom Science track [email protected]
To apply, please visit www.mskcc.org/optics for instructions on how to submit the application form, CV, letter of interest, career statement, and two letters of support to Samantha Vasquez. Applications are due by Friday, January 31, 2025.
Training begins July 2025 and funding is available for 2 years.
Visit the website www.mskcc.org/optics for more information about training program and faculty research expertise.
Keep an eye on the page in the future for open positions.
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.