Moffitt Cancer Center
APPLIED DATA SCIENTIST REGULATORY AND STATISTICAL
Moffitt Cancer Center, Tampa, Florida, us, 33646
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.
Dr. Ciara Freeman at the esteemed Moffitt Cancer Center is on the lookout for a talented
Applied Data Scientist - Regulatory & Statistical , to help build the first regulatory-grade AI models that predict therapy response in multiple myeloma. You’ll partner with a physician-scientist PI and data-engineering team to prototype, validate, and document predictive models designed for clinical use. This is hands-on translational ML — fast iteration, real impact, auditable results. Your models will form the core of clinically actionable, auditable AI systems that change how we treat cancer.
Ideal Candidate
Expert in Python (scikit-learn, XGBoost, PyTorch/TensorFlow).
Skilled in survival or clinical modeling; thrive where rigor meets speed.
Responsibilities
Develop and validate multimodal survival and risk-stratification models (clinical + omics + imaging).
Collaborate with engineers to define and extract features.
Perform calibration, bias analysis, and explainability (SHAP, PDPs, model cards).
Translate results into clinician-friendly insights and contribute to IP and regulatory filings.
Credentials & Qualifications
Master’s degree in Computer Science, Data Science, Biostatistics, or a related quantitative field with seven (7) years of applied statistical or machine learning model development experience in healthcare, biotech, or regulated environments.
Or PhD with five (5) years of applied statistical or machine learning model development experience in healthcare, biotech, or regulated environments.
Familiarity with Snowflake or modern data-engineering workflows preferred.
Join a small, high-impact team at Moffitt Cancer Center building regulatory-grade AI models in oncology — turning real clinical data into predictive tools for patient care.
Moffitt Cancer Center proudly stands as a Comprehensive Cancer Center designated by the National Cancer Institute (NCI) in the vibrant city of Tampa, Florida. This dynamic city is an exceptional choice for those seeking exciting opportunities in a rapidly growing metropolitan area. With its flourishing economy and rich cultural diversity, the Tampa Bay region masterfully combines urban elegance with breathtaking natural beauty. Discover why countless individuals have chosen to make Tampa their home and experience firsthand what makes it one of the fastest-growing metropolitan cities in the United States.
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Dr. Ciara Freeman at the esteemed Moffitt Cancer Center is on the lookout for a talented
Applied Data Scientist - Regulatory & Statistical , to help build the first regulatory-grade AI models that predict therapy response in multiple myeloma. You’ll partner with a physician-scientist PI and data-engineering team to prototype, validate, and document predictive models designed for clinical use. This is hands-on translational ML — fast iteration, real impact, auditable results. Your models will form the core of clinically actionable, auditable AI systems that change how we treat cancer.
Ideal Candidate
Expert in Python (scikit-learn, XGBoost, PyTorch/TensorFlow).
Skilled in survival or clinical modeling; thrive where rigor meets speed.
Responsibilities
Develop and validate multimodal survival and risk-stratification models (clinical + omics + imaging).
Collaborate with engineers to define and extract features.
Perform calibration, bias analysis, and explainability (SHAP, PDPs, model cards).
Translate results into clinician-friendly insights and contribute to IP and regulatory filings.
Credentials & Qualifications
Master’s degree in Computer Science, Data Science, Biostatistics, or a related quantitative field with seven (7) years of applied statistical or machine learning model development experience in healthcare, biotech, or regulated environments.
Or PhD with five (5) years of applied statistical or machine learning model development experience in healthcare, biotech, or regulated environments.
Familiarity with Snowflake or modern data-engineering workflows preferred.
Join a small, high-impact team at Moffitt Cancer Center building regulatory-grade AI models in oncology — turning real clinical data into predictive tools for patient care.
Moffitt Cancer Center proudly stands as a Comprehensive Cancer Center designated by the National Cancer Institute (NCI) in the vibrant city of Tampa, Florida. This dynamic city is an exceptional choice for those seeking exciting opportunities in a rapidly growing metropolitan area. With its flourishing economy and rich cultural diversity, the Tampa Bay region masterfully combines urban elegance with breathtaking natural beauty. Discover why countless individuals have chosen to make Tampa their home and experience firsthand what makes it one of the fastest-growing metropolitan cities in the United States.
#J-18808-Ljbffr