The Chan Lab in the Human Oncogenesis & Pathogenesis Program at Memorial Sloan Kettering Cancer Center is seeking a highly motivated and successful individual with a background in computational biology. The Chan Lab is a new, multidisciplinary group developing machine learning methods using cutting-edge single-cell and cell-free sequencing as well as spatial imaging to study how cell fate decisions mediate metastasis and acquired resistance across different cancer types, and how epigenetic and environmental factors guide this process. A central focus of our work is to quantify lineage plasticity (the capacity to switch to non-canonical phenotypes) to gain insight into the underlying molecular machinery and identify new drug targets to constrain or even reverse plasticity. Representative publications include:  

This position will involve a mixture of methodological development and analysis of large-scale datasets of patient samples from a leading cancer center, as well as time-series analysis of sophisticated preclinical models through highly collaborative research. This position will require developing and maintaining software packages, assisting or leading in manuscript writing, engaging in a vibrant scientific community through regular work-in-progress and lab meetings, and other academic activities. For further information, please visit the lab website at www.joechanlab.org . 

The ideal candidate should have: 

• A PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related field

• Proficiency in Python and R Prior experience in computational biology Ability to engage in independent thinking  Excellent skills in written and verbal communication  Collegiality as a team member and a willingness to mentor other trainees

• At least 1 published first-author manuscript

If you have any questions about this job opportunity, please contact:

Dr. Joseph M. Chan, MD, PhD

chanj3@mskcc.org