Senior Clinical Data Scientist
Tasks
- Build agentic AI conversational capabilities
- Deploy models into validated clinical systems
- Design and build production ML models end to end
- Detect data integrity risks and anomalies
- Develop clinical workflow quality models
- Evaluate technical feasibility and data readiness for roadmap
- Maintain feature store and MLOps infrastructure
- Monitor LLM and agentic AI advances for product
- Own machine learning pipelines and MLOps
- Support data quality and governance for AI delivery
- Translate clinical requirements into AI features
- Translate model outputs into product insights
Perks/Benefits
- N/A
Skills/Tech-stack
ADaM | AWS | Agentic AI | Anomaly Detection | Azure | CDISC | CTMS | Classification | DBT | Data Governance | Data Lineage | Databricks | Drift Detection | ECOA | EDC | FHIR | Feature Store | Generative AI | LLMs | MLOps | Machine Learning | Medallion Architecture | Model Monitoring | Model versioning | Prompt engineering | Python | Quality management | RAG | RBQM | Retraining Pipelines | Risk-Based Quality Management | Risk-based | Risk-based quality | SDTM | SQL | Series analysis | Snowflake | Statistical modeling | Time Series | Time Series Analysis
Education
N/A
Roles
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