At Moffitt Cancer Center, we strive to be the leader in understanding the complexity of cancer and applying these insights to contribute to the prevention and cure of cancer. Our diverse team of over 9,000 are dedicated to serving our patients and creating a workspace where every individual is recognized and appreciated. For this reason, Moffitt has been recognized on the 2023 Forbes list of America’s Best Large Employers and America’s Best Employers for Women, Computerworld magazine’s list of 100 Best Places to Work in Information Technology, DiversityInc Top Hospitals & Health Systems and continually named one of the Tampa Bay Time’s Top Workplace. Additionally, Moffitt is proud to have earned the prestigious Magnet® designation in recognition of its nursing excellence. Moffitt is a National Cancer Institute-designated Comprehensive Cancer Center based in Florida, and the leading cancer hospital in both Florida and the Southeast. We are a top 10 nationally ranked cancer center by Newsweek and have been nationally ranked by U.S. News & World Report since 1999.
Working at Moffitt is both a career and a mission: to contribute to the prevention and cure of cancer. Join our committed team and help shape the future we envision.

Summary

The Health Informatics Department at the Moffitt Cancer Center looks to recruit two Senior Generative AI Data Scientists to serve as the department’s subject-matter experts in Gen AI techniques and methodologies, providing strategic guidance and technical expertise on large projects. Drive cross-functional collaboration within Health Data Services, IT architecture, engineering, and clinical domain experts to deliver production-ready solutions for high-impact use cases.

 

Position Highlights:

Leads the end-to-end design, development, and deployment of cutting-edge generative AI solutions to advance cancer research and real-world clinical applications that are safe, explainable, and scalable solutions.

 

The Ideal Candidate:

Extensive expertise in designing and deploying large language model (LLM) architectures, including transformer-based systems, such as GPT, MedPaLM, and LLaMA. Strong academic foundation and deep hands-on experience across the GenAI stack, with a passion for applying AI to improve patient outcomes and accelerate scientific discovery Experience with agentic AI systems, including experience building autonomous agents capable of multi-step reasoning, tool use, and dynamic task execution. Familiarity with vector databases, including indexing, semantic search, and integration with LLM based applications. Experience with fine-tuning and prompt engineering for LLMs using frameworks like Hugging Face Transformers, OpenAI, or similar. Strong proficiency in Python/R and experience working with LLM APIs (e.g., OpenAI, Anthropic, Cohere) and/or open-source models (e.g., LLaMA, Mistral). Experience deploying GenAI systems in cloud environments (e.g., Azure, AWS) with MLOps tools and practices. Proficiency in embedding techniques and semantic search, including use of sentence transformers and similarity metrics. Ability to communicate complex technical concepts to non-technical stakeholders and influence strategic decisions.

 

Responsibilities:

Lead the full machine learning lifecycle, including data preprocessing, feature engineering, model development, evaluation, and optimization for scalable deployment in the cloud.   Mentor and guide junior data scientists, fostering a culture of innovation, technical excellence, best practices, standards of development, and continuous learning within the AI team. Drive cross-functional collaboration within Health Data Services, IT architecture, engineering, and clinical domain experts to deliver production-ready solutions for high-impact use cases.

 

Credentials and Qualifications:

Master’s degree in computer science, Biomedical Informatics, Machine Learning, or a related field. Preference given to someone with a Ph.D. Eight (8) years of experience in applied machine learning & Large Language Models, inclusive of three (3) years in Advanced Generative AI solutions. Three (3) years of hands-on experience designing and implementing Retrieval-Augmented Generation (RAG) pipelines using frameworks such as LangChain or LlamaIndex.

 

Moffitt Cancer Center is an NCI-designated comprehensive Cancer Center in Tampa, Florida. Tampa is an ideal choice for those seeking opportunities in a rapidly growing metropolitan city. With its vibrant economy and diverse culture, Tampa Bay offers a unique blend of urban sophistication and natural beauty. Join the many who have already discovered what makes Tampa one of the fastest-growing metropolitan cities in the US. 

 

Salary and Benefits Offered to Moffitt Team Members: 

Market-competitive salary  Eligible for an annual Team Member Incentive  Eligible for an annual Team Member Merit Increase Inclusive Benefits package - Health, Financial, & Lifestyle coverage 

 

If you have the vision, passion, and dedication to contribute to our mission,

then we have a place for you.

 

Interested applicants should attach a cover letter summarizing their research training and accomplishments, a personal statement of scientific interests and goals, and current CV with recent publications.