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 candidate interested in developing and applying novel statistical methods in MSK’s interdisciplinary microbiome research program for a position as a postdoctoral fellow. The successful candidate will work on developing innovative high-dimensional statistical methods, scalable computational algorithms, and accessible software packages for MSK’s unique and continuously growing clinical microbiome database of more than 10,000 longitudinal stool samples with comprehensive metadata. This position presents exciting opportunities to advance our understanding of microbial associations with patient outcomes, medications, nutrients, or multi-omics, and to answer impactful clinical research questions in a data-driven approach. The successful candidate will collaborate with a closely-knit microbiome research team consisting of physician-scientists, computational biologists, and wet-lab research technicians, fostering mutual supports across various domains. The postdoctoral fellow will be co-mentored by Drs. Teng Fei and Li-Xuan Qin for an initial period of two years, with the potential for extension into a third year.
The ideal candidate should possess:
- A doctoral degree in biostatistics, statistics, computational biology, bioinformatics, or a related discipline.
- Experiences in one or more of the following areas: high-dimensional data, compositional data, longitudinal/survival data, and mixture modeling.
- Experiences in high performance computing system and/or statistical software development.
- Excellent communication and teamwork skills.
This position is open immediately until filled. Prospective applicants are invited to submit their CV, along with a letter expressing their interest and addressed to Drs. Teng Fei and Li-Xuan Qin, as well as the names and contact information of three references. Submissions should be sent to:
Maria Andrade Aray
Assistant to the Chairman
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. This position will focus on analyzing high-dimensional flow cytometry data, single-cell RNA sequencing, multiplex imaging, and spatial transcriptomics in patients treated with immune checkpoint blockade (ICB) 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. 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 R/Matlab/Python and have experience working on Unix/Linux systems and basic shell scripting. Prior experience with single-cell data would be an asset.
The successful applicant will be supervised jointly by Drs. Ronglai Shen, Katherine Panageas and Margaret Callahan. To apply, send a cover letter, cv, and the names of 3 references to Ronglai Shen ([email protected]): Memorial Sloan Kettering Cancer Center, 485 Lexington Avenue, New York, NY 10017.
Postdoctoral Fellowship in Statistical Immuno-Oncology
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. This position will focus on analyzing high-dimensional flow cytometry data, single-cell RNA sequencing, multiplex tissue imaging, and spatial transcriptomics in patients treated with immune checkpoint blockade (ICB) 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. 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/Matlab and have experience working on Unix/Linux systems and basic shell scripting. Prior experience with single-cell data would be an asset.
The successful applicant will be supervised jointly by Drs. Ronglai Shen and Katherine Panageas. To apply, send a cover letter, cv, and the names of 3 references to Ronglai Shen ([email protected]): Memorial Sloan Kettering Cancer Center, 633 3rd Avenue, New York, NY 10017.
Postdoctoral Fellow for New Telehealth Research Center at Memorial Sloan Kettering Cancer Center
We are seeking a highly motivated postdoctoral fellow in biostatistics who is interested in statistical and computational methods development and application. This position will provide exciting opportunities to work with large-scale multi-center telehealth data and develop novel methods for causal inference, machine learning, data integration, and precision oncology. Successful candidate will work on development, as well as applications of these methods and will participate in knowledge generation and will be expected to publish findings in top-tier statistical and biomedical literature. This position will be supported by MATCHES (Making Telehealth Delivery of Cancer Care at Home Effective and Safe), a new NCI-funded center (https://grants.nih.gov/grants/guide/rfa-files/RFA-CA-21-029.html) dedicated to building the necessary evidence base to guide the appropriate role of telehealth in the delivery of cancer care. A multi-disciplinary team of investigators at MSK has received a 5-year award to support this work and will launch this project in the fall of 2022.
Applicants should hold a Ph.D. degree in biostatistics, statistics, machine learning, or a related field. The successful candidate should have solid methodological training in statistics, be comfortable working with large data sets, be proficient in R and/or Python, and have experience working on Unix/Linux systems. Prior experience with telehealth data, causal inference, and precision medicine would be an asset.
The successful applicant will be supervised jointly by Drs. Yuan Chen, Katherine Panageas, and Mithat Gönen. This position is open immediately. The initial appointment is for two years with a possibility for renewal. To apply, please send a cover letter, CV, research statement (optional) and the names of 3 references by email to Maria Andrade Aray at [email protected].
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.
Click here to apply:
https://careers.mskcc.org/vacancies/2024-80306-faculty-position-in-computational-oncology/
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 protected].
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
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.