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.
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 (wangx11@mskcc.org).
Applications will be reviewed on a rolling basis, with a deadline of June 20, 2025.
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/
There are no positions open at this time. Please check back again at a later date.
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.