Computational Biologist

$91k to $134k

New York, NYFull-timePosted Oct 23, 2026

Against the New York City typical range

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 pursue our mission at MSK and around the globe. Memorial Sloan Kettering Cancer Center seeks Computational Biologist in New York, NY to provide support to research projects by designing, developing, and implementing software tools for processing and analyzing high-throughput next-generation sequencing data.

Provide one-on-one consultation and training to research scientists and bioinformatics and software engineers in the use of bioinformatics software tools and databases. Responsible for program design, coding, testing, debugging and documentation as part of the bioinformatics data processing and analysis system. Design, develop, and operate software and databases as part of bioinformatics data processing and analysis system.

Provide consultation and guidance to research scientists as well as other bioinformatics and software engineers at the Center. Full-time telecommuting permitted. EEO/VETS/ADA.

REQUIREMENTS

Master’s degree or equivalent in Bioinformatics, Computer Science, Mathematics, or a related field of study and 3 years of experience in the position offered or related; or a Bachelor’s degree in Bioinformatics, Computer Science, Mathematics, or a related field of study and 5 years of experience in the position offered or related.

Requires 3 years of experience with all of the following: working with Scripting languages including Perl and Python; working with Statistical programming including R; working with data visualization techniques utilizing ggplot, RShiny, or seaborn; working with Linux including shell scripting and command line tools; utilizing HPC systems such as SLURM, LSF, or SGE; utilizing principles of Genetics to perform bioinformatic data analysis; utilizing NGS tools related to FASTQ, BAM, and VCF generation; Large-scale data organization and standardization; experience with molecular biology including Cloning, PCR, and Pulldown assays.

Must have coursework experience in next generation sequencing library preparation and sequencing principles. SALARY: $91,000 - $134,000/year LOCATION: 1275 York Avenue, New York, NY 10065 Apply for the Computational Biologist position at https://careers.mskcc.org. #LI-DNI Pay Range: $83,800.00 - $134,000.00 FSLA Status: Exempt Closing : At MSK, we believe in fair, competitive pay that reflects your job, experience, and skills.

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.

Description copied from Memorial Sloan Kettering Cancer Center's careers page. Read the full posting before you apply.

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