Data Scientist

City of Hope

1d•Remote

About The Position

The Data Scientist will join the transformative team at City of Hope, an organization dedicated to fighting cancer, diabetes, and other life-threatening illnesses. This is a fully remote opportunity within the United States. The role involves querying and analyzing large, complex datasets to discover insights applicable to an evolving cancer care delivery environment. The Data Scientist will leverage data mining, statistics, and machine learning to understand data relationships and patterns, build predictive models, and propose actionable solutions.

Requirements

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

Nice To Haves

Familiarity with a health care environment and EHR data
Familiarity with time series, deep learning, and Natural Language Processing (NLP)
Proficient designing, training, testing, deploying, and monitoring machine learning models to solve a wide array of problems
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
Awareness of the most recent trends and developments in the Data Science / Machine Learning fields
Experience with Snowflake a plus
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, LangChain, etc
Familiar embedding LLMs into workflows with packages like LangChain and LangGraph
Advanced 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 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
Experience managing collaborative data science projects

Responsibilities

Collaborate with administrative leaders, clinicians and IT specialists
Query large datasets from multiple systems
Build machine learning models
Design and implementation of pilots for validation and optimization of models in real time
Produce technical documentation, visualizations and presentations
Project management for complex tasks
Completes own work independently
Performs other related duties as assigned or requested.