Moffitt Cancer Center is looking to build the first regulatory-grade AI models that predict therapy response in multiple myeloma
Requirements
- Expert in Python (scikit-learn, XGBoost, PyTorch/TensorFlow)
- Skilled in survival or clinical modeling
- Familiarity with Snowflake or modern data-engineering workflows preferred
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
Other
- 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
- Full Time, Day Shift, M-F, 8am - 5:30pm
