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:

• Collaborate with administrative and business leaders, clinicians and IT specialists

• Query large datasets from multiple systems

• Build machine learning and AI solutions and deploy them to production

• Design and implementation of pilots for validation and optimization of models

• Produce technical documentation, visualizations and presentations

• Lead projects with multiple work streams or complex tasks

• Project management for complex tasks

• Complete individual or collaborative projects independently

• Provide key subject matter expertise and leadership in applying data science and AI technologies for business, administrative, and clinical decision support

• Provide mentorship and guidance to more junior staff

• Performs other related duties as assigned or requested.

Your qualifications should include:

Your qualifications should include:

• PhD degree in computer science, engineering, statistics, mathematics, physics, or fields related to data science with 0+ years of experience as a data scientist, Master’s degree with 3+ years of experience; or Bachelor’s degree with 5+ years of experience

  Preferred Experience

• Familiarity with a health care environment and EHR data

• Experienced using time series analysis to model temporal data to solve complex problems

• Proficient designing, training, testing, deploying, and monitoring machine learning models to solve a wide array of problems

• Experienced using linear regression, boosted trees, deep learning and other techniques as needed to build models that support daily operations

• Experienced using LLMs and agentic frameworks to create production-level applications

• Cloud services platforms like Amazon AWS and Microsoft Azure

• Awareness of the most recent trends and developments in the Data Science and Machine Learning field

• Data expert with measurable track record within industry or academic environment, developing and successfully implementing statistical and machine learning models for classification, regression and clustering

• Experience with relational databases and SQL queries.

• Skilled in Python and well-versed in its machine learning libraries, such as pandas, scikit-learn, TensorFlow, PyTorch, LangChain, and more.

• Solid experience in machine learning techniques: linear regression, boosted trees, clustering, and deep learning (CNNs, RNNs, Transformers, Large Language Models, embeddings)

• Proficient in implementing the machine learning lifecycle, including feature selection, model training, validation, testing, deployment, and ongoing monitoring.

• 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

• Ability to turn users’ requirements into a production-level applications

• 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

• Experience mentoring or leading teams of data scientists

• Track record of academic publications, or extensive experience in developing and implementing production-grade models.

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.