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.
Your qualifications should include: 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
- 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 like Microsoft Azure
- 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
Skills:
- 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 solution
- 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
City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location. To learn more about our Comprehensive Benefits, please CLICK HERE Please note: City of Hope is committed to a safe and transparent hiring experience. Please be aware that scammers may attempt to impersonate our organization through fake job postings, emails or interviews.
- Apply only through our official website or trusted partner platforms.
- City of Hope will never request payment or fees at any stage of the hiring process.
- We will not request sensitive personal or financial information prior to the acceptance of a formal offer.
- All communications will come from official @coh.org email addresses.
- Interviews are conducted only through approved, professional channels.
- Be cautious of unsolicited communications, urgent requests or opportunities that seem inconsistent with standard hiring practices.
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