Computational Biologist I

Memorial Sloan Kettering Cancer Center

Computational biologist developing genomic analysis tools for Memorial Sloan Kettering Cancer Center’s cancer research. Analyzing sequencing data and contributing clinically meaningful findings to publications.

Posted 8/11/2026full-timeNew York City • New York • 🇺🇸 United StatesMid-LevelSenior💰 $83,800 - $134,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Proficient in developing and maintaining computational tools and database systems for next-generation sequencing data analysis, with strong expertise in R and Python programming. Demonstrates exceptional attention to detail and effective communication skills for presenting scientific findings and contributing to publications in cancer genomics.

Highest-signal resume keywords

R ProgrammingPython ProgrammingHigh-Throughput Sequencing Data AnalysisStatistical Genetics/GenomicsNGS Analysis Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Computational Tools DevelopmentDatabase Systems MaintenanceData Quality ControlData AnalysisShell ScriptingCancer ResearchMolecular Biology Applications

Soft Skills

Excellent Communication SkillsCollaborative MindsetAttention to DetailResilienceAdaptability

Certifications & Qualifications

Bachelor’s Degree in Computational BiologyMaster’s Degree in BioinformaticsEquivalent Practical Experience

Industry Keywords

Next-Generation SequencingCancer GenomicsBioinformaticsStatistical GeneticsResearch Publications

Tech Stack

Tools & technologies

PythonShell Scripting

About the role

Key responsibilities & impact

Develop, implement, and maintain computational tools and database systems for analyzing next-generation sequencing data
Perform data quality control and comprehensive analysis of complex sequencing datasets
Identify and investigate novel, clinically relevant research questions in cancer genomics
Collaborate with scientists, clinicians, and researchers
Contribute to scientific manuscripts and peer-reviewed publications
Present findings to internal and external stakeholders, including at scientific meetings
Maintain clear, well-documented code, pipelines, and workflows
Participate in lab meetings and stay current with emerging literature in bioinformatics and cancer biology

Requirements

What you’ll need

Bachelor’s or Master’s degree in Computational Biology, Bioinformatics, Computer Science, or a related field with a focus on molecular biology applications, or equivalent practical experience
Experience working with high-throughput sequencing data
Proficiency in R and/or Python
Shell scripting skills
Background in statistical genetics/genomics
Familiarity with NGS analysis tools
Experience in cancer research strongly preferred
Excellent written and verbal communication skills
Experience presenting scientific findings and contributing to publications
Strong interest in molecular and cell biology
Exceptional attention to detail and ability to identify data anomalies and troubleshoot effectively
Collaborative mindset focused on delivering research-driven solutions
Resilience and adaptability when navigating research challenges
Ability to learn quickly and apply past insights to new problems
Schedule of 37.5 hours per week and onsite work

Benefits

Comp & perks

Competitive pay of $83,800.00–$134,000.00 per year
Equal opportunity and affirmative action employer committed to diversity and inclusion
Reasonable accommodation for qualified individuals with disabilities
Innovative research, exceptional patient care, and educational programs