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About the Role
Join the Clinical Data Mining (CDM) team at Memorial Sloan Kettering (MSK) to develop machine learning (ML) and natural language processing (NLP) solutions that automate the extraction, standardization, and curation of clinically relevant data from unstructured sources. Your work will accelerate translational research by transforming real-world clinical data into high-quality, research-ready resources, supporting institutional research projects and advancing cancer research.
Responsibilities
- 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
- 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.
Skills
- Python
- R
- SQL
- Machine Learning
- Natural Language Processing (NLP)
- Git/GitHub
- Cloud platforms
- Analytical skills
- Problem-solving skills
- Communication skills
- AI
- Clinical data science
- Large language models (LLMs)
- Prompt engineering
- AI APIs
- Healthcare data
- Clinical research data
- Bioinformatics
- Cancer genomics
- Clinical informatics
- AWS
- Azure
- Google Cloud Platform
- Databricks
- Electronic health records (EHRs)
- Clinical data warehouses
Location
- New York, NY
Work Type
- Full-time
- Hybrid
Experience Level
- 2+ years of relevant experience
Education Level
- Bachelor's degree
- Master's degree
Salary/Compensations
- $83,800.00 - $134,000.00
Benefits
- Benefits information available
About the Company
- The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life.
- MSK provides specialized care teams offering personalized, compassionate, expert care to patients of all ages.
- MSK conducts innovative translational and clinical research driven by basic research from the Sloan Kettering Institute.
- MSK is dedicated to training the next generation of scientists and clinicians.
- MSK is changing the way cancer is treated and understood.
- The Cancer Data Science Initiative (CDSI) aims to make cancer data more accessible, actionable, and impactful.
- CDSI enables clinicians, biologists, and computational scientists to access de-identified data that fuels discovery and innovation.
- CDSI has developed widely adopted cancer research resources like cBioPortal and OncoKB.
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.
- Reasonable accommodation may include changes to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.