Senior Computational Biologist I, Center for Molecular Oncology

Memorial Sloan Kettering Cancer Center; Street (MD); Hybrid; USD 114,000 - 182,000; Full time

Benefits offered by this job

Hybrid work model

Collaborative research environment

Job summary

Memorial Sloan Kettering Cancer Center in NYC is seeking a Senior Computational Biologist to develop and apply computational methods for liquid biopsy, clonal hematopoiesis, and translational cancer genomics research. Hybrid work with MSK-ACCESS and CMO-CH analyses will involve close collaboration with clinical, laboratory, and computational teams.

The role emphasizes building scalable analysis workflows, statistical modeling, and contributing to manuscripts and grants in a multidisciplinary

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.

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.

Skills

Python

R

Statistical analysis

Scientific communication

Collaboration

Education

Master's degree or PhD in Computational Biology, Bioinformatics, Statistics, Computer Science

Tools

Nextflow

Snakemake

CWl

WDL

Linux

HPC

Cloud platforms

Git/GitHub

Docker

Apptainer/Singularity

Job description

About Us

The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursueour missionat MSK and around the globe.

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
• Closing: At MSK, we believe in fair, competitive pay that reflects your job, experience, and skills.

Equal Opportunity

MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision. Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

Other Information

Our multi-disciplinary teams work together to provide exceptional patient care, develop innovative research, and deliver outstanding educational programs. Learn More The people of MSK make this an incredible place to work, grow and make a difference. Discover what makes us unique