Computational Biologist I, Clinical Data Mining

Memorial Sloan Kettering Cancer Center

. Partner with clinicians, researchers, engineers, and data scientists to support institutional cancer research initiatives .

Posted 10/16/2026full-timeNew York City • New York • United StatesJuniorMid-Level💰 $83,800 - $134,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and maintaining data pipelines, applying machine learning and natural language processing methodologies, and leveraging cloud technologies to support cancer research initiatives. Strong collaboration and communication skills are essential for translating complex research questions into actionable computational solutions.

Highest-signal resume keywords

Python ProgrammingMachine Learning ApplicationNatural Language ProcessingCloud TechnologiesData Pipeline Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLRelational DatabasesData IntegrationAI-Based SolutionsData AbstractionPrompt EngineeringAI APIsElectronic Health RecordsClinical Data WarehousesHealthcare Datasets

Soft Skills

Strong CommunicationCollaboration Skills

Tools & Technologies

GitGitHubAWSAzureGoogle Cloud PlatformDatabricks

Industry Keywords

BioinformaticsBiomedical EngineeringComputational BiologyData ScienceCancer GenomicsClinical InformaticsHealth Disparities Research

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPythonSQL

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, natural language processing, and AI-based solutions for clinical data extraction and curation
Leverage large language models 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 cloud-based infrastructure and analytics tools supporting translational research
Support enterprise curation, health disparities research, and Cancer AI Alliance use cases
Report to the Senior Computational Biologist II

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
Preferred: M.S. or Ph.D. in a related field
Preferred: Experience building and deploying machine learning models in research or production environments
Preferred: Knowledge of NLP methodologies and AI-driven applications
Preferred: Experience with large language models (LLMs), prompt engineering, and AI APIs
Preferred: Familiarity with healthcare, clinical research, bioinformatics, cancer genomics, or clinical informatics
Preferred: Experience with cloud technologies such as AWS, Azure, Google Cloud Platform, or Databricks
Preferred: Experience working with electronic health records (EHRs), clinical data warehouses, or healthcare datasets
Ability to manage multiple priorities in a fast-paced environment