T32 Research Fellow

Statistics Interest Group; New York (NY); On-site; USD 60,000 - 90,000; Full time

Job summary

Memorial Sloan Kettering Cancer Center invites applications for the T32 Research Fellow position in Oncology-focused population sciences. MDs or PhDs will receive mentored training in data science, statistics, and bioinformatics to address cancer-related questions using large-scale clinical and genomic datasets.

Applicants should have a MD/DO or PhD/ScD and be a US citizen or permanent resident. Apply via MSKCC optics site; deadline Feb 12, 2027.competitive stipend and mentorship within a

Qualifications

• Strong background in statistical modeling, data analysis, and computational methods.
• Experience with large-scale clinical, genomic, or imaging datasets.
• Familiarity with bioinformatics pipelines and data visualization.

Responsibilities

• Pursue postdoctoral training in oncology-focused population sciences.
• Engage in data science, precision oncology, and population health research.
• Collaborate with multidisciplinary teams to develop and apply novel methodologies.

Skills

Data science

Statistics

Machine learning

Bioinformatics

Education

MD/DO or PhD/ScD

Job description

Memorial Sloan Kettering Cancer Center – T32 Research Fellow

Company Name Memorial Sloan Kettering Cancer Center

Position Title T32 Research Fellow

Company Information

The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursue our mission at MSK and around the globe. One of the world’s most respected comprehensive centers devoted exclusively to cancer, we have been recognized as one of the top two cancer hospitals in the country by U.S. News & World Report for more than 30 years.

Duties and Responsibilities

MSK welcomes applications for Postdoctoral Fellows who wish to pursue training in Oncology-Focused Population Sciences. 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.

OPTICS (Oncology focused Postdoctoral Training In Care Delivery and Symptom Science) is funded by an NCI-T32. It affords trainees protected time and access to resources to support intensive focus on an impactful research project. The program focuses on training aligned with one of 4 themes: Data Science, Risk Mitigation, Symptom Science or Care Delivery. Fellows do not need to have a specific project or mentor identified to apply.

This is a great opportunity for MDs or PhDs interested in pursuing a research career in any area of cancer‑related population sciences, including but not limited to cancer data science, symptom control and survivorship, health informatics, cancer care delivery, implementation science, and epidemiology.

Position Qualifications

We are seeking a highly motivated postdoctoral researcher in data science/statistics with a focus on cancer population sciences. This position offers the opportunity to work on cutting‑edge projects at the intersection of data science, precision oncology, and population health, contributing to advancements in cancer treatment and patient outcomes. The ideal candidate will have expertise in statistical modeling, machine learning, or bioinformatics, with a strong interest in utilizing novel methodologies for large‑scale clinical, genomic and/or imaging datasets to drive impactful research. Join our dynamic team to help shape the future of cancer research through innovative data science.

To apply, please head to our website, www.mskcc.org/optics, and submit your application materials to Samantha Vasquez at [e-mail] by Friday, Feb 12, 2027. You must be a researcher with a MD/DO or PhD/ScD and a United States citizen or permanent resident (green card holder).

Application Deadline 02/12/2027