Senior Applied AI Data Scientist
Tasks
- Analyze model performance and output quality
- Apply machine learning and generative AI to extract clinical information from unstructured notes
- Collaborate with engineers to productionize scale and monitor models
- Create custom data outputs for cross functional teams
- Define training and evaluation requirements for datasets
- Maintain software pipelines for dataset generation
- Own dataset lifecycle from scoping through validation and delivery
- Validate AI generated research datasets
Perks/Benefits
- 1 1 financial advice
- 401k contribution
- Financial health resources
- Flexible paid time off
- Flexible work hours
- Mental well-being tools
- Parental benefits
- Travel support
Skills/Tech-stack
Bias Mitigation | DBT | Data Pipelines | Data Quality | Deep learning | ETL | Equity analysis | Generative AI | Health Equity | Health equity analysis | Healthcare Data | Language Models | Language Processing | Large Language Models | Machine Learning | NLP | Natural Language | Natural Language Processing | Pandas | Polars | Production Monitoring | Python | SQL | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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