Data Scientist Associate
Tasks
- Analyze and interpret experimental results
- Build APIs and data pipelines
- Build and maintain LLM based applications
- Build and run benchmarking and testing frameworks
- Collaborate with clinical and research stakeholders on requirements and workflows
- Design develop evaluate predictive models
- Develop deploy and maintain AI ML and LLM based applications
- Develop retrieval pipelines
- Ensure HIPAA and IRB data governance compliance
- Evaluate and validate model outputs
- Generate and test hypotheses
- Implement data de-identification and access controls
- Integrate with EHR and clinical data sources
- Maintain code quality, documentation, and testing
- Perform exploratory data analysis
- Support MLOps model versioning monitoring and deployment automation
Perks/Benefits
Skills/Tech-stack
APIs | Access Control | Artificial Intelligence | Audit Logging | Benchmarking | Data Analysis | Data Deidentification | Data Pipelines | Deployment Automation | EHR Integration | Exploratory Data Analysis | HIPAA | IRB | Language Models | Large Language Models | MLOps | Machine Learning | Model Monitoring | Model versioning | Predictive Modeling | Prompt engineering | Python | Retrieval-Augmented Generation | Security Reviews | Testing
Education
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