Clinical Data Analyst Translational AI in Oncology

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 Join a High-Velocity Startup-Minded Team Shaping the Future of Predictive and Personalized Medicine Are you ready to help redefine healthcare for the 21st century? Dr. Ciara Freeman at the Moffitt Cancer Center is leading an exciting one-year project that goes beyond personalized medicine—we are pushing the boundaries of predictive medicine. We are seeking a Clinical Data Analyst with a passion for translational AI. If you are driven by curiosity, enjoy solving complex problems, and are eager to work in a fast-paced environment with high stakes, we want you on our team. We are building the next generation of regulatory-grade AI models in oncology, and we need someone who can transform complex clinical data into model-ready insights. You will be part of a dynamic translational AI team led by a physician-scientist, developing multimodal datasets that drive predictive modeling and digital biomarker discovery. Ideal Candidate: • Fluent in SQL and Python; 3–5+ years building analytical datasets. • Comfortable in modern data-warehouse environments (Snowflake, BigQuery, Redshift). • Enjoy hands-on data work, fast iteration, and tangible clinical impact. • Familiarity with healthcare, biomedical, or translational datasets (EMR, lab, imaging, omics). Responsibilities: • Query and integrate clinical, lab, imaging, and genomic data into clean, version-controlled datasets. • Write efficient SQL and Python transformations in Snowflake or similar environments. • Partner with ML scientists to define features and test new data sources, including LLM-based text extraction. • Document lineage and reproducibility for regulatory-grade traceability. Credentials & Qualifications: • Master’s degree in Computer Science, Data Science, Informatics, or a related quantitative field. • Three years of hands-on experience designing and querying relational data models or analytical datasets.