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DATA SCIENTIST - REMOTE - 10033108
Anywhere, USACity of Hope is an independent biomedical research and treatment center for cancer, diabetes and other life-threatening diseases.
Founded in 1913, City of Hope is a leader in bone marrow transplantation and immunotherapy such as CAR T cell therapy. City of Hope’s translational research and personalized treatment protocols advance care throughout the world. Human synthetic insulin, monoclonal antibodies and numerous breakthrough cancer drugs are based on technology developed at the institution. AccessHope™, a wholly owned subsidiary, was launched in 2019 and is dedicated to serving employers and their health care partners by providing access to City of Hope’s exceptional cancer expertise.
A National Cancer Institute-designated comprehensive cancer center and a founding member of the National Comprehensive Cancer Network, City of Hope is ranked among the nation’s “Best Hospitals” in cancer by U.S. News & World Report and received Magnet Recognition from the American Nurses Credentialing Center. Its main campus is located near Los Angeles, with additional locations throughout Southern California and in Arizona.
Join the transformative team at City of Hope, where we're changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses. City of Hope’s growing national system includes its Los Angeles campus, a network of clinical care locations across Southern California, a new cancer center in Orange County, California, and treatment facilities in Atlanta, Chicago and Phoenix. Our dedicated and compassionate employees are driven by a common mission: To deliver the cures of tomorrow to the people who need them today.
** This is a Fully Remote Opportunity within the United States**
As a successful candidate, you will:
We are seeking multiple Data Scientists to join our team. These roles will focus on querying and analyzing large, complex datasets to generate insights that inform cancer research and care delivery. The Data Scientists will apply data mining, statistical analysis, and machine/deep learning techniques to uncover patterns, develop predictive models, and translate findings into actionable solutions.
- 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
- Performs other related duties as assigned or requested.
Your qualifications should include:
Master’s degree with 0 years of experience; or Bachelor’s degree with 3 years of experience
Preferred:
- 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)
- Familiarity with Cloud services platforms like Microsoft Azure
- Experience with Generative AI and Large Language Models (LLMs), including RAG, fine-tuning, embedding models, prompt engineering, and integration into agentic data science workflows.
- Proficiency with version control systems (Git) and collaborative development workflows
- Awareness of the most recent trends and developments in the Data Science / Machine Learning fields
Skills:
- 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
- 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 both technical and non-technical audiences
- Experience in authoring and contributing to peer-reviewed scientific publications
- 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
We currently have 4 Openings
City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location.
City of Hope is an equal opportunity employer.
To learn more about our Comprehensive Benefits, pleaseCLICK HERE.







