Data Scientist - Remote

Summary

City of Hope is a transformative organization focused on changing lives in the fight against cancer and other illnesses. The Data Scientist will design and implement AI and Advanced Analytics solutions, utilizing statistics and machine learning to support cancer care delivery.

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

Skills

• Master's degree with 0+ years of experience; or Bachelor's degree with 3+ years of experience
• 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
• 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
• Experience with Agile project management frameworks and Jira is a plus

Qualifications

Must Haves

• Master's degree with 0+ years of experience; or Bachelor's degree with 3+ years of experience

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
• 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
• Experience with Agile project management frameworks and Jira is a plus