Postdoctoral Research Fellow, Cancer Genomics and Data Science, Joint position in GI Oncology, Medicine (DOM) and Molecular Diagnostics Service, Department of Pathology and Laboratory Medicine (DPLM)

Memorial Sloan Kettering Cancer Center • New York, NY

22d • Onsite

About The Position

We are seeking a highly talented and motivated Postdoctoral Research Fellow to join the Balogun-Chakravarty Laboratory for Gastrointestinal Cancer Disparities at Memorial Sloan Kettering Cancer Center. This is a joint position bridging the GI Oncology Service (Department of Medicine) and the Molecular Diagnostics Service (Department of Pathology and Laboratory Medicine), under the mentorship of Drs. Fiyinfolu Balogun and Debyani Chakravarty. Our laboratory investigates how community factors and socioeconomic status shape the genetics and biology of gastrointestinal cancers, integrating large-scale genomic datasets with real-world clinical data to advance precision oncology and health equity. We collaborate closely with clinicians across Memorial Hospital, community hospital partners, and MSK core facilities to conduct innovative translational research. The successful candidate will join the interdisciplinary research teams of Drs. Fiyinfolu Balogun and Debyani Chakravarty bridging the GI Oncology and Clinical Computational Diagnostics Services. The primary focus of this fellowship will be research studies investigating the influence of community and socioeconomic status on the genetics and biology of GI cancers. There will also be opportunities to develop partnerships with community hospitals to establish research workflows and provide a framework for data acquisition. This framework will serve as a platform for hypothesis generation and a building block to improve precision oncology outcomes. This position will also involve a mixture of methodological development and analysis of large-scale datasets of patient samples from a leading cancer center. 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 learn from a cadre of other computational scientists, clinical fellows and mentors.

Requirements

• PhD in a computational or quantitative discipline (e.g., computational biology, bioinformatics, biostatistics, epidemiology, population genomics, data science, or related field).
• Experience with genomic data (NGS), clinical or real-world datasets (EHR, cancer registries), or both.
• Strong foundation in quantitative methods, study design, and large-scale data analysis.
• Proficiency in at least one statistical programming language: R, Python, or SAS.
• Independent thinker with strong written and verbal communication skills.
• Collaborative team member with a willingness to mentor junior trainees.

Nice To Haves

• Background in cancer disparities, health equity, population genomics, or cancer epidemiology.
• Experience linking genomic data with clinical or socioeconomic variables.
• MD/PhD or candidates with clinical research exposure are strongly encouraged to apply.
• Familiarity with health disparities research methods or real-world data integration is a plus.

Responsibilities

• Conduct research studies investigating the influence of community and socioeconomic status on the genetics and biology of GI cancers.
• Develop partnerships with community hospitals to establish research workflows and provide a framework for data acquisition.
• Perform methodological development and analysis of large-scale datasets of patient samples.
• Play a leading role on research projects.
• Present research findings at national scientific meetings.
• Develop grant writing skills.
• Collaborate with computational scientists, clinical fellows, and mentors.

Benefits

• Access to high-quality facilities
• Access to innovative technologies
• Collaborative environment that promotes ingenuity

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree