Translational AI Data Analyst (Healthcare)
Moffitt Cancer Center
Please note: This position is in Tampa, FL. 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. In lieu of a master’s degree, a Bachelor's degree plus an additional 2 years of hands‑on experience designing and querying analytical datasets in healthcare, biomedical research, or clinical environments for a total of 5 years of related experience as described above may be considered. #J-18808-Ljbffr
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