Memorial Sloan Kettering Cancer Center
Data Scientist I
New York City, New York · Junior
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odds of building a lasting career here
Files H-1B any time — no cap, no lottery. The 2026 weighted-selection rule doesn't touch it, which makes this the strongest structural path for entry-level talent. Pay is often lower, but your odds of staying are dramatically higher.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$2,735 more — $115,835 — moves this role to Level II and 2 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $115,835 would place this position at wage Level II. That figure is within the posted range, and I'd like to target it. This role classifies under "Data Scientists" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Data Scientists (15-2051) · New York-Newark-Jersey City, NY-NJ. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
States it is exempt from the H-1B cap
Green-card follow-through: 42%
DOL often reclassifies their job titles
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- Evaluate the performance, accuracy, and real-world impact of any models or AI solutions built, using appropriate metrics, testing, and monitoring to ensure reliability and effectiveness once in production.
- Evaluate emerging AI technologies, tools, and frameworks, and recommend practical applications for the team.
Responsibilities
- Partner with Strategy & Growth stakeholders to translate business challenges into scalable AI-enabled workflows.
- Provide data science support for in-house digital products with potential commercial value.
- Build an AI agent that automates patent operations and compliance workflows.
- Develop a large language model pipeline to automate chart review by extracting outcomes, such as whether a patient had a change in diagnosis, from unstructured clinical notes.
- Build a RAG pipeline that extracts insights from an extensive portfolio of prior strategic research and interviews.
Requirements
- Hands-on experience working with large language models (Claude, GPT-4, open-source LLMs), including prompt engineering, retrieval-augmented generation (RAG), and/or API-based development.
- Proficiency in Python and/or R for data science and ML workflows.
- Familiarity with coding assistant tools (e.g., Claude Code, Github Copilot), modern software development practices, and version control (Git).
Nice to have
- Exposure to or interest in agentic AI systems (multi-step agents, tool use, orchestration frameworks such as AWS Strands and LangChain) - direct experience is a strong plus.
- Familiarity with cloud platforms, particularly AWS (e.g., Bedrock) is a plus.
Skills
- Curiosity and a strong desire to continuously learn new technologies and approaches.
- Comfort operating in ambiguity and adapting to rapidly evolving priorities.
- Passion for applying AI and automation to solve practical business challenges.
- Ability to balance technical excellence with measurable business impact.
- Collaborative communication skills and the ability to explain complex concepts to diverse stakeholders.
- Leverage modern AI development platforms, coding assistance tools, and software engineering best practices to accelerate innovation.
- Comfort working in relational databases and SQL.
Compensation
- $113,100.00 - $180,900.00
- At MSK, we believe in fair, competitive pay that reflects your job, experience, and skills.
Benefits
- Healthcare experience is a plus but not required
Company info
- 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.
- Exciting Opportunities at MSK: Data Scientist I
- Memorial Sloan Kettering Cancer Center (MSK) is seeking a Data Scientist I to join the Strategy & Growth team.
- This role offers a unique opportunity to apply cutting-edge AI technologies to high-impact business challenges, helping shape how one of the world's leading cancer centers leverages artificial intelligence to drive innovation, efficiency, and growth.
- Working closely with strategy, commercialization, and innovation leaders, you will build AI-powered solutions that automate complex workflows, enhance decision-making, and create measurable organizational impact.
- This role is ideal for an early-career data scientist who is passionate about Generative AI, intelligent agents, and building technology that solves real-world problems.
- Role Overview
- Design, build, and deploy AI agents and generative AI applications - from early prototypes through production-ready tools - that automate operational workflows, extend the team's strategic capabilities, and support commercialization and revenue-generation initiatives.
- Perform broader data analytics and data engineering tasks as needed to support the team and stakeholders, including building and maintaining ETL pipelines, developing dashboards and reporting tools, and conducting ad hoc data analyses.
- Sample Projects
Equal opportunity
- MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment.
- 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.
This listing is sourced directly from Memorial Sloan Kettering Cancer Center's careers page and normalized into a canonical job model.