Postdoc: Computational Cancer Biology & Lineage Plasticity

msk; New York (NY); On-site; USD 72,000 - 87,000; Full time

Job summary

Memorial Sloan Kettering Cancer Center (MSK) invites applications for a highly motivated computational postdoctoral fellow in the Chan Lab to study tumor cell plasticity using single-cell and spatial genomics, cfDNA profiling, and machine learning.

The role focuses on defining transcriptional programs driving lineage plasticity across solid tumors, building predictive models of lineage transformation, and translating findings toward improved patient care within a collaborative translational

Qualifications

• PhD in Computational Biology, Biotech or related field.
• Proficiency in Python and R for computational analyses.
• Prior experience in computational biology research.
• Ability to engage in independent thinking and scientific discussion.
• Excellent written and verbal communication skills.

Responsibilities

• Develop and apply computational methods to study tumor cell plasticity.
• Biological interpretation of computational results.
• Assist or lead manuscript writing and prepare scientific reports.
• Engage in lab meetings and collaborative scientific activities.
• For more information, visit the lab website.

Skills

Independent thinking

Written and verbal communication

Education

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

Tools

Python

R

Job description

Memorial Sloan Kettering Cancer Center (MSK) invites applications for a highly motivated computational postdoctoral fellow in the Chan Lab to study tumor cell plasticity using single-cell and spatial genomics, cfDNA profiling, and machine learning.

The role focuses on defining transcriptional programs driving lineage plasticity across solid tumors, building predictive models of lineage transformation, and translating findings toward improved patient care within a collaborative translational