Director, Precision Medicine Data Science & AI
Tasks
- Apply anti kickback compliance considerations
- Architect model lifecycle frameworks
- Build go to market model adjacent field activation resources
- Deploy and monitor machine learning models
- Design clinical decision support algorithms
- Develop HCP targeting AI ML solutions
- Drive external partnership strategies
- Ensure HIPAA compliance
- Ensure governance fairness and reproducibility
- Implement FDA CDS guidance
- Integrate AI models into clinical workflows
- Integrate large language models into precision medicine
- Integrate real world data sources
- Lead patient identification model development and deployment
- Manage external partnerships and vendor integrations
- Publish research and externalize models
- Translate technical outputs into business value narratives
- Validate machine learning models
Perks/Benefits
Skills/Tech-stack
AWS | Apache Spark | Azure | CPT | Claims data | Classification | Clinical decision support | Cloud platform | Data Governance | Data Quality | Data Validation | Data Visualization | Decision support | Deep learning | EHR | Foundation Models | Generative AI | Genomic data | Google Cloud | Google Cloud Platform | Healthcare Data | ICD-10 | LLM | LOINC | Lab Results | Language Models | Language Processing | Large Language Models | Machine Learning | Model Deployment | Model Monitoring | Model Reproducibility | Natural Language | Natural Language Processing | Patient Registries | PyTorch | Python | Real-World Data | Recommendation Systems | RxNorm | SNOMED CT | TensorFlow
Education
Regions
Countries
States
Cities
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