Data Scientist - Remote

City of Hope

4d•Remote

About The Position

The Data Scientist will design and implement AI and Advanced Analytics solutions in an evolving cancer care delivery environment. Individuals in this role will use statistics, machine learning, deep learning, LLM frameworks, and domain knowledge to understand relationships and patterns in data; train predictive models; design AI agents, tools, and skills; and support automation efforts in business, research and clinical domains. The Data Scientist will also design experiments and pipelines for AI system validation and partner with engineering teams to move solutions into production.

Requirements

Master’s degree with 0+ years of experience; or Bachelor’s degree with 3+ years of experience
Proficient developing machine learning models for classification, regression and clustering
Experience with relational databases and SQL queries.
Proficient in Python and its machine learning libraries like pandas, scikit-learn, PyTorch, etc.
Experience designing AI solutions, applying python LLM frameworks like LangChain and LangGraph, and designing tools, skills, and/or subagents for AI frameworks
Knowledge of probability, statistics, and scientific computing
Ability to work independently and use creative approaches to problem- solving
Capable of turning questions into testable hypotheses, extracting data from complex databases, creating and evaluating statistical models
Experience in data visualization and ability to communicate results to a non-technical audience
Experience completing independent research and development with limited supervision
Experience being part or large, cross-functional teams with many internal and external teams involved
Programming Languages: Python, SQL
ML frameworks: sklearn, tensorflow, pytorch, etc.
LLM & Generative AI Frameworks: LangChain, LangGraph, etc.

Nice To Haves

Master's or Bachelor's degree with 3+ years of experience
Familiarity with a health care environment and EHR data
Expertise with or more data science domains (time series, deep learning, LLM architectures, Natural Language Processing (NLP), causal inference, etc.)
Familiarity with cloud services like Microsoft Azure and version control systems (Git)
Experience with Generative AI and Large Language Models (LLMs), RAG, fine-tuning, embeddings, prompt engineering, and agentic workflows
Experience with data science/AI product lifecycle and understanding model training, testing, deploying, and monitoring.
Awareness of the most recent trends and developments in Artificial Intelligence
Experience with Agile project management frameworks and Jira is a plus

Responsibilities

Collaborate with administrative leaders, clinicians, researchers and engineering teams
Query and interpret large clinical and operational data sets
Develop machine learning pipelines, AI/LLM tools and agents, and statistical analyses
Design and implement AI and ML validation frameworks (experiments, pilots, metrics)
Partner with engineering teams to move solutions into production platforms and environments
Produce technical documentation and presentations
Project management; independently decompose requests into project tasks and manage time
Independently research business and clinical problems and associated data sets
Performs other related duties as assigned or requested