Data Scientist - Remote

aa067

United States

Remote

USD 110,000 - 170,000

Full time

4 days ago
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Benefits offered by this job

Comprehensive Benefits
Remote work within US

Job summary

City of Hope is hiring a Data Scientist for a fully remote role within the United States. You will design and implement AI and analytics solutions across clinical and operational domains, training predictive models and developing AI agents and tools.

Responsibilities include collaborating with clinicians and engineers, building ML pipelines, validating AI systems, and delivering production-ready solutions with clear documentation for diverse stakeholders.

Qualifications

  • Master’s degree or Bachelor’s degree with 3+ years of experience.
  • Experience with health care data (EHR) preferred.
  • Expertise in time series, deep learning, NLP, and causal inference.
  • Proficiency with Python and ML libraries (pandas, scikit-learn, PyTorch).
  • Experience with AI/LLM tools, embeddings, and prompt engineering.
  • Familiarity with cloud services (Azure) and version control (Git).
  • Ability to work independently and in cross-functional teams.

Responsibilities

  • Collaborate with clinicians, researchers, and engineers.
  • Query and interpret large clinical and operational data sets.
  • Develop ML pipelines, AI/LLM tools, and statistical analyses.
  • Design AI/ML validation frameworks and experiments.
  • Move solutions into production with engineering teams.
  • Produce technical documentation and presentations.
  • Manage projects by decomposing requests into tasks.
  • Conduct independent research on business and clinical problems.

Skills

Python
SQL
Pandas
scikit-learn
PyTorch
LangChain
LangGraph
LLM frameworks
Deep learning
NLP

Education

Master’s degree
Bachelor’s degree

Tools

Azure
Git
LangChain
LangGraph

Job description

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.

To learn more about our Comprehensive Benefits, please CLICK HERE.

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