Postdoctoral Fellow – Computational Oncology & Lineage Plasticity

Memorial Sloan Kettering Cancer Center; New York (NY); On-site; USD 72,000 - 87,000; Full time

Job summary

Memorial Sloan Kettering Cancer Center in New York, NY is seeking a highly motivated computational postdoctoral fellow in the Chan Lab to study tumor cell plasticity and therapeutic implications using single-cell and spatial genomics, cfDNA profiling, and machine learning. The ideal candidate will have a PhD in a related field, strong Python and R skills, and a track record in computational biology.

The role involves developing methods, data interpretation, manuscript writing, and active

Qualifications

• PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related field.
• Proficiency in Python and R.
• Prior experience in computational biology.
• Excellent written and verbal communication.
• Ability to engage in independent thinking.
• Collegiality and willingness to mentor trainees.

Responsibilities

• Develop and apply computational methods to study tumor cell plasticity and lineage transformation.
• Interpret results biologically and contribute to manuscript writing.
• Engage in lab meetings and scientific discussions to advance project goals.
• Collaborate with clinical and translational teams to translate findings into improved patient care.

Skills

Python

R

Independent thinking

Written communication

Verbal communication

Mentoring

First-author manuscript

Education

PhD in Computational Biology or related field

Job description

Memorial Sloan Kettering Cancer Center in New York, NY is seeking a highly motivated computational postdoctoral fellow in the Chan Lab to study tumor cell plasticity and therapeutic implications using single-cell and spatial genomics, cfDNA profiling, and machine learning. The ideal candidate will have a PhD in a related field, strong Python and R skills, and a track record in computational biology.

The role involves developing methods, data interpretation, manuscript writing, and active