Generative AI Data Scientist I — Automation & Strategy

Memorial Sloan Kettering Cancer Center; United States; Hybrid; USD 113,000 - 181,000; Full time

Job summary

Memorial Sloan Kettering Cancer Center (MSK) is seeking a Data Scientist I to join the Strategy & Growth team. You will design, build, and deploy AI agents and generative AI applications that automate workflows and support commercialization.

The role emphasizes applied AI, RAG, and production-ready solutions in a cancer-focused research and care environment. Ideal candidates have 1–3 years of data science/ML experience, proficiency with Python/R, SQL, and experience with LLMs.

Qualifications

• 1-3 years of experience in data science, machine learning, or applied AI.
• Hands-on experience with large language models (Claude, GPT-4, open-source LLMs), including prompt engineering, retrieval-augmented generation (RAG), and/or API-based development.
• Understanding of machine learning fundamentals and data analysis techniques.
• Proficiency in Python and/or R for data science and ML workflows.
• Comfort working in relational databases and SQL.
• Familiarity with coding assistant tools (e.g., Claude Code, Github Copilot), modern software development practices, and version control (Git).
• 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.
• Experience building AI applications, AI agents, retrieval-augmented generation (RAG) solutions, or productivity-focused automation tools is strongly preferred.
• Healthcare experience is a plus but not required

Responsibilities

• 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.
• 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.
• Partner with Strategy & Growth stakeholders to translate business challenges into scalable AI-enabled workflows.
• 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.
• Provide data science support for in-house digital products with potential commercial value.
• Evaluate emerging AI technologies, tools, and frameworks, and recommend practical applications for the team.
• Leverage modern AI development platforms, coding assistance tools, and software engineering best practices to accelerate innovation.

Skills

Data science

Python

R

SQL

LLMs

Prompt engineering

RAG

Git

Claude Code

Github Copilot

LangChain

AWS Bedrock

AI applications

Tools

Git

Github Copilot

Claude Code

LangChain

Bedrock

Job description

Memorial Sloan Kettering Cancer Center (MSK) is seeking a Data Scientist I to join the Strategy & Growth team. You will design, build, and deploy AI agents and generative AI applications that automate workflows and support commercialization.

The role emphasizes applied AI, RAG, and production-ready solutions in a cancer-focused research and care environment. Ideal candidates have 1–3 years of data science/ML experience, proficiency with Python/R, SQL, and experience with LLMs.