Scientific Data Engineer
Tasks
- Build reproducible analysis pipelines
- Collaborate with wet lab scientists to validate requirements
- Define data models for experimental data and metadata
- Design Python libraries for scientific analysis
- Design interfaces for extensible pipelines and tools
- Establish failure handling and quality control
- Implement testing validation versioning and observability
- Integrate workflows with workflow management systems
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | Airflow | Dagster | Data Modeling | Git | Image analysis | Observability | Packaging | Prefect | Provenance | Python | Quality Control | Reproducibility | Testing | Versioning | Workflow Orchestration
Education
N/A
Roles
Regions
Countries
States
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