Clinical Data Engineer
Tasks
- Build Python applications for visualization and annotation
- Build scalable ETL pipelines
- Collaborate with internal teams and clinical sites
- Conduct statistical analyses
- Create structured datasets for supervised machine learning
- Design data models and workflows
- Develop evaluation pipelines for physiological metrics
- Develop interactive research tools for session inspection
- Ensure data integrity reproducibility and versioning
- Integrate multiple data sources into aligned datasets
- Investigate data anomalies and sensor issues
- Manage AWS data storage retrieval and archival
- Monitor live clinical data and alert issues
- Own end to end clinical data pipelines
- Perform clinical analytics and algorithm validation
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | AWS | Biometrics | Bootstrapping | Correlation | Data Integrity | Data Validation | ETL | Error Metrics | Heart Rate | Heart rate variability | Machine Learning | NumPy | Pandas | Python | SQL | Series analysis | Series data | Signal Processing | Sleep staging | Snowflake | Statistical Analysis | Supervised Learning | Time Series | Time Series Analysis | Time Series Data
Education
N/A
Roles
Regions
Countries
States
Cities
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