Location: Tampa, FL
Cap-Exempt H-1B Position — No lottery required
- Tampa, FL - Hybrid-On Site - Full Time - Day Shift - M-F, 8am - 5pm - Req #: 89587 Working at Moffitt is both a career and a mission: to contribute to the prevention and cure of cancer. As the only National Cancer Institute-designated Comprehensive Cancer Center based in Florida, Moffitt employs some of the best and brightest minds from around the world. Join a dedicated team of nearly 10,000 who are shaping the future we envision. Moffitt has been recognized as a Best and Brightest Company to Work for in the Nation, a Digital Health Most Wired Organization and continually named one of the Tampa Bay Time’s Top Workplaces. A National Cancer Institute (NCI)-designated Comprehensive Cancer Center since 2001. **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). **Res