Data Scientist - Remote

City of Hope

9d • Remote

About The Position

The Data Scientist will design, develop, and deploy advanced machine learning and artificial intelligence solutions supporting cancer research and clinical operations. The role combines data science, AI engineering, and ML systems development, including deep learning architectures and large language model applications such as retrieval-augmented generation (RAG), agent-based systems, and domain-specific model adaptation. It also includes developing multimodal AI models that integrate structured clinical data, unstructured text, medical imaging, and genomic data. The position requires advanced theoretical and applied knowledge of machine learning, distributed systems, and modern AI frameworks.

The role collaborates with administrative leaders, clinicians, IT specialists, and cross-functional research, clinical, and engineering teams. The Data Scientist independently completes work, leads technical design and implementation of complex AI initiatives, and performs other related duties as assigned or requested.

Requirements

• Master’s degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, Statistics, Applied Mathematics, Bioinformatics, Engineering, or a closely related quantitative field; alternatively, a bachelor’s degree with 3+ years of experience.
• Experience with relational databases and SQL queries.
• Proficiency in Python and related data and machine learning packages.
• Proficiency 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 and LangGraph for building advanced AI solutions.
• Ability to work independently and use creative approaches to problem-solving.
• Ability to turn questions into testable hypotheses, extract data from complex databases, and create and evaluate statistical models.
• Experience in data visualization and communicating results to technical and non-technical audiences.
• Experience authoring and contributing to peer-reviewed scientific publications.
• Experience completing end-to-end projects with minimal to no supervision.
• Experience participating in large projects involving many internal and external teams.
• Experience managing collaborative data science projects.

Nice To Haves

• Familiarity with a health care environment and EHR data.
• Familiarity with multimodal data such as genomics and medical images.
• Background in deep neural networks and natural language processing (NLP).
• Familiarity with cloud services platforms such as Microsoft Azure.
• Experience with generative AI and LLMs, including RAG, fine-tuning, embedding models, prompt engineering, and integration into agentic data science workflows.
• Proficiency with version control systems such as Git and collaborative development workflows.
• Awareness of recent trends and developments in data science and machine learning.

Responsibilities

• 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.
• Design multimodal AI solutions integrating text, imaging, genomic, and structured clinical data using deep learning and transformer-based models.
• Complete work independently.
• Perform other related duties as assigned or requested.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior