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Job Description

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 back ground in computational biology . The Chan Lab is a new, multidisciplinary group develop ing 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 :
 

• Chan , et al. Lineage plasticity in prostate cancer depends on JAK/STAT inflammatory signaling.  Science , 2022.
• Chan , et al. Signatures of plasticity, metastasis, and immunosuppression in an atlas of human small cell lung cancer.  Cancer Cell , 2021 .
• Schoenfeld,  Chan , et al. Tumor analyses reveal squamous transformation and off-target alterations as early resistance mechanisms to first-line osimertinib in EGFR-mutant lung cancer.  Clinical Cancer Research , 2020 .
• Offin ,  Chan , et al. Concurrent RB1 and TP53 alterations define a subset of EGFR-mutant lung cancers at risk for histologic transformation and inferior clinical outcomes.  Journal of Thoracic Oncology , 2019 .
• Chan , et al. Topology of viral evolution.  PNAS , 2013 .
• Singh,  Chan , et al. Transforming Fusions of FGFR and TACC Genes in Human Glioblastoma.  Science , 2012 .
   

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
• P roficie ncy in Python and R
• Prior experience in computational biology
• Ability to engage in independent thinking
• Excellent skills in writ ten 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

Please include a cover letter, brief statement of prior research experience and research interests, CV, and contact information for three references in your application submission.

Salary: $70,000-$ 85 , 000 (depending on postgraduate experience)

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