[Hiring] Data Scientist @City of Hope

Role Description

As a successful candidate, you will:

• Design, develop, and deploy advanced machine learning and artificial intelligence solutions to support cancer research and clinical operations.
• Integrate data science, AI engineering, and ML systems development, including deep learning architectures and large language model (LLM) applications such as retrieval-augmented generation (RAG), agent-based systems, and domain-specific model adaptation.
• Develop multimodal AI models that integrate structured clinical data, unstructured text, medical imaging, and genomic data.
• Collaborate with administrative leaders, clinicians, and IT specialists.
• Query large datasets from multiple systems.
• Design, develop, validate, and deploy machine learning and deep learning models, including transformer-based architectures, multimodal neural networks, and LLM systems.
• Architect, deploy, and monitor production-grade AI systems, including LLM-based RAG pipelines, agent frameworks, and multimodal inference systems in cloud or distributed environments.
• Produce technical documentation, visualizations, and presentations.
• Lead technical design and implementation of complex AI initiatives involving cross-functional research, clinical, and engineering teams.
• Complete own work independently.
• Design multimodal AI solutions integrating text, imaging, genomic, and structured clinical data using deep learning and transformer-based models.
• Perform other related duties as assigned or requested.

Qualifications

• Master’s degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, Statistics, Applied Mathematics, Bioinformatics, Engineering, or a closely related quantitative field; or Bachelor’s degree with 3+ years of experience.
• Preferred familiarity with a health care environment and EHR data.
• Preferred familiarity with multimodal data such as genomics and medical images.
• Preferred background in deep neural networks and Natural Language Processing (NLP).
• Preferred familiarity with Cloud services platforms like Microsoft Azure.
• Preferred 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.

Requirements

• 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 solutions.
• 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.

Benefits

• 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 .