Data Scientist - Remote
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Before you apply
LocationUS-Nationwide-USA-Remote-US-Remote
Work moderemote · United States
Typefull-time
SeniorityMid
Company size10,000+ people
First seenOct 18, 2026 · 2w ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Master’s degree with 0+ years of experience; or Bachelor’s degree with 3+ years of experience
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
Master’s or Bachelor’s degree with 3+ years of experience
Familiarity with a health care environment and EHR data
Expertise with one 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 of large, cross-functional teams with many internal and external teams involved
Experience with Agile project management frameworks and Jira is a plus
Skills
Python
SQL
scikit-learn
PyTorch
LangChain
LangGraph
Microsoft Azure
Git
Jira
TensorFlow
About the company
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**
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.
As a successful candidate, you will:
•
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
Your qualifications should include:
•
Master’s degree with 0+ years of experience; or Bachelor’s degree with 3+ years of experience
Preferred:
•
Master’s or Bachelor’s degree with 3+ years of experience
•
Familiarity with a health care environment and EHR data
•
Expertise with one 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
•
Programming Languages: Python, SQL
•
ML frameworks: sklearn, tensorflow, pytorch, etc.
•
LLM & Generative AI Frameworks: LangChain, LangGraph, etc.
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.
Benefits
To learn more about our Comprehensive Benefits, pleaseCLICK HERE.