Director, Precision Medicine Data Science & AI
Tasks
- Build model lifecycle frameworks
- Deploy and monitor scalable ML models
- Design clinical decision support algorithms
- Develop HCP targeting AI ML
- Develop go to market field activation resources
- Drive experimentation continuous improvement rigor
- Ensure governance fairness and reproducibility
- Integrate AI into clinical workflows
- Integrate Large Language Models into workflows
- Lead patient identification models end to end
- Manage external partnerships for AI CDS
- Navigate FDA CDS and HIPAA compliance
- Translate technical outputs into business value
- Validate machine learning models
Perks/Benefits
Skills/Tech-stack
AWS | Anti Kickback | Anti Kickback Statutes | Azure | CPT | Claims data | Classification | Clinical decision support | Clinical terminology | Cloud Computing | Data Governance | Data Modeling | Data Quality | Decision support | Deep learning | EHR | FDA CDS | Foundation Models | GCP | Generative AI | Genomic data | HIPAA | Healthcare Data | Healthcare data modeling | ICD-10 | LOINC | Lab Results | Language Models | Language Processing | Large Language Models | Machine Learning | Model Monitoring | Model Validation | Natural Language | Natural Language Processing | PyTorch | Python | Real-World Data | Recommendation Systems | RxNorm | SNOMED CT | Spark | TensorFlow
Education
Regions
Countries
States
Cities
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