Postdoctoral Fellow, Computational Biology In Cancer – Chan Lab At Memorial Sloan Kettering Cancer Center
Memorial Sloan Kettering Cancer Center
New York, NY, US
Base: $72,000-$87,000; bonus/equity: not specified...
Phd in computational biology or related field
Proficiency in python and r programming
Prior experience in computational biology
The Chan Lab at Memorial Sloan Kettering Cancer Center is seeking a postdoctoral fellow to study tumor cell plasticity using advanced computational methods
Job Summary
The Chan Lab at Memorial Sloan Kettering Cancer Center is seeking a postdoctoral fellow to study tumor cell plasticity using advanced computational methods.
The role involves integrating single-cell and spatial genomics with machine learning to understand how tumors evolve under therapeutic pressures.
Candidates will work with deeply annotated patient cohorts and longitudinal samples in a collaborative environment focused on translating discoveries into improved patient care.
Matching Summary
The Chan Lab at Memorial Sloan Kettering Cancer Center is seeking a postdoctoral fellow to study tumor cell plasticity using advanced computational methods.
Salary
Base: $72,000-$87,000; Bonus/Equity: Not specified; Benefits: Not specified
Skills & Requirements
Must-have
PhD in Computational Biology or related field
Proficiency in Python and R programming
Prior experience in computational biology
Published first-author manuscript required
Nice-to-have
Creativity and intellectual curiosity
Strong written and verbal communication skills
Willingness to mentor other trainees
Experience with single-cell genomics
Key Requirements
Doctorate degree (PhD) in Computational Biology, Bioinformatics, Computer Science, Statistics, or related field
At least one published first-author manuscript
Demonstrated ability to engage in independent thinking