City of Hope is seeking to improve cancer research and care delivery by analyzing large, complex datasets to generate insights and develop predictive models
Requirements
- Experience with relational databases and SQL queries
- Proficient in Python and related data and ML packages
- Proficient in standard data science workflows, including training, evaluating/testing, and deploying machine learning and deep learning models
- Familiarity with LLM frameworks and packages such as LangChain, LangGraph, for building advanced AI solution
- Familiarity with a health care environment and EHR data
- Familiarity with multimodal data such as genomics and medical images
- Background in deep neural networks and Natural Language Processing (NLP)
Responsibilities
- Collaborate with administrative leaders, clinicians, scientists, and IT specialists
- Query, integrate and analyze large datasets from multiple systems
- Develop, build and evaluate machine learning and deep learning models
- Design and implement pilot studies to validate, optimize, and assess model/data science workflow performance
- Produce technical documentation, visualizations and presentations
- Project management for complex tasks
- Completes own work independently
Other
- Masters degree with 0+ years of experience; or Bachelors degree with 3+ years of experience
- 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 completing end to end projects with minimal to no supervision
- Experience in being a part of big projects with many internal and external teams involved
