Computational Biologist I, Clinical Data Mining

MSK

Computational Biologist at Memorial Sloan Kettering developing ML and NLP solutions for cancer data. Collaborating with teams to support oncology research through data extraction and curation.

Posted 7/29/2026full-timeNew York City • New York • 🇺🇸 United StatesJuniorMid-Level💰 $83,800 - $134,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and maintaining data pipelines, applying machine learning and natural language processing methodologies, and leveraging cloud-based infrastructure for clinical data integration and research support. Strong collaboration and communication skills are essential for working with diverse teams and stakeholders.

Highest-signal resume keywords

Python ProgrammingMachine LearningNatural Language ProcessingCloud PlatformsSQL

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data Pipeline DevelopmentMachine Learning MethodologiesNatural Language Processing TechniquesData IntegrationClinical Data CurationData AbstractionComputational SolutionsBioinformaticsBiomedical EngineeringData Science

Soft Skills

Strong Communication SkillsCollaboration Skills

Tools & Technologies

GitGitHubCloud-Based Data Environments

Industry Keywords

Clinical DataGenomic DataImaging DataTranslational ResearchHealthcare Datasets

Tech Stack

Tools & technologies

CloudPythonSQL

About the role

Key responsibilities & impact

Partner with clinicians, researchers, engineers, and data scientists to support institutional cancer research initiatives.
Develop and maintain data pipelines to extract, transform, and integrate clinical, genomic, imaging, and other healthcare datasets.
Build and deploy machine learning (ML), natural language processing (NLP), and AI-based solutions for clinical data extraction and curation.
Leverage large language models (LLMs) and emerging AI technologies to improve data abstraction and research workflows.
Collaborate with cross-functional teams to translate research questions into scalable computational solutions.
Support enterprise curation efforts that make high-quality clinical data available to investigators across MSK.
Contribute to the development of cloud-based infrastructure and analytics tools supporting translational research.

Requirements

What you’ll need

Bachelor's degree in Computer Science, Bioinformatics, Biomedical Engineering, Computational Biology, Data Science, or a related discipline with 2+ years of relevant experience; or a Master's degree in a related field.
Experience programming in Python and/or R.
Working knowledge of SQL and relational databases.
Experience applying machine learning and/or NLP methodologies.
Experience working with source control systems such as Git/GitHub.
Experience using cloud platforms or cloud-based data environments.
Strong communication and collaboration skills with both technical and non-technical stakeholders.

Benefits

Comp & perks

Health insurance
401(k) retirement plan
Paid time off
Flexible work arrangements
Professional development opportunities