Data Scientist - Remote

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\:

The Data Scientist will design, develop, and deploy advanced machine learning and artificial intelligence solutions to support cancer research and clinical operations. This role integrates 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. The position also involves development of multimodal AI models that integrate structured clinical data, unstructured text, medical imaging, and genomic data. The role requires advanced theoretical and applied knowledge in machine learning, distributed systems, and modern AI frameworks.

• 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 large language model (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.

• Completes own work independently

• Design multimodal AI solutions integrating text, imaging, genomic, and structured clinical data using deep learning and transformer-based models.

• Performs other related duties as assigned or requested.