Master's degree with relevant experience or PhD in Computational Biology, Bioinformatics, Statistics, Computer Science, or a related field
Strong programming skills in Python and/or R
Experience analyzing NGS or large-scale genomic datasets
Familiarity with workflow management systems like Nextflow, Snakemake, CWL, or WDL
Experience in Linux, HPC, and/or cloud environments
Proficiency with Git/GitHub and container technologies such as Docker or Apptainer/Singularity
Strong statistical analysis and scientific communication skills
Responsibilities
Analyze and interpret next-generation sequencing data from MSK-ACCESS, CMO-CH, and related assays
Lead computational analyses of ctDNA, clonal hematopoiesis, treatment response, and clinical outcomes data
Develop, automate, and maintain scalable, reproducible genomic analysis workflows
Build statistical and predictive models integrating genomic and clinical datasets
Collaborate with investigators across computational, laboratory, and clinical research teams
Contribute to manuscripts, grants, presentations, and translational research initiatives
Benefits
Hybrid work schedule (Monday-Friday, 9-5)
Located in NYC
Opportunity to work with cutting-edge technologies in cancer genomics
Collaborative environment with multidisciplinary teams
Involvement in impactful translational research initiatives
Full Job Description
Exciting Opportunity at MSK: The Cell-Free DNA (cfDNA) Informatics Team within MSK's Center for Molecular Oncology is seeking a Senior Computational Biologist to develop and apply computational methods for liquid biopsy, clonal hematopoiesis, and translational cancer genomics research. This role will support analyses using MSK-ACCESS, CMO-CH, and related sequencing platforms while collaborating closely with clinical, laboratory, and computational teams.
Role Overview:
Analyze and interpret next-generation sequencing data from MSK-ACCESS, CMO-CH, and related assays
Lead computational analyses of ctDNA, clonal hematopoiesis, treatment response, and clinical outcomes data
Develop, automate, and maintain scalable, reproducible genomic analysis workflows
Build statistical and predictive models integrating genomic and clinical datasets
Collaborate with investigators across computational, laboratory, and clinical research teams
Contribute to manuscripts, grants, presentations, and translational research initiatives
Key Qualifications:
Master's degree with relevant experience or PhD in Computational Biology, Bioinformatics, Statistics, Computer Science, or a related field
Strong programming skills in Python and/or R
Experience analyzing NGS or large-scale genomic datasets
Experience with workflow management systems such as Nextflow, Snakemake, CWL, or WDL
Experience working in Linux, HPC, and/or cloud environments Proficiency with Git/GitHub and container technologies such as
Docker or Apptainer/Singularity
Strong statistical analysis and scientific communication skills
Core Skills:
Independent problem-solving and scientific rigor
Experience developing scalable and reproducible computational solutions
Strong collaboration and communication skills across multidisciplinary teams
Ability to manage multiple research projects in a fast-paced environment
Interest in leveraging emerging technologies, including AI-assisted tools, to enhance research productivity
Additional Information:
Schedule: Monday-Friday, 9-5 Hybrid
Location: 323 E. 61 Street, NYC
Reporting to: Senior Manager
Helpful Links:
Compensation Philosophy
Benefits
Pay Range: $114,000.00 - $182,400.00
FSLA Status: Exempt
About Memorial Sloan Kettering Cancer Center
Memorial Sloan Kettering Cancer Center is a world-renowned cancer treatment and research institution located in New York City. The center was founded in 1884 and has since become one of the leading cancer centers in the world, with a focus on patient care, research, and education. Memorial Sloan Kettering Cancer Center employs over 20,000 people, including doctors, nurses, researchers, and support staff, and treats over 500,000 patients each year. The center is known for its innovative treatments and cutting-edge research, which has helped to improve the lives of cancer patients around the world. Memorial Sloan Kettering Cancer Center is committed to finding a cure for cancer and improving the quality of life for cancer patients everywhere.
