Senior Data Engineer - Clinical Trial Data
North Chicago, IL, United States
USD 121K-202K (estimate) Senior-level Full Time
Tasks
- Build data transformation and metadata extraction pipelines
- Build reproducible data pipelines with QC validation
- Create reusable code and components
- Develop data architectures for clinical development
- Develop data set processes for data modeling and mining
- Ensure compliance with GCP ICH and SOPs
- Identify data sources for streamlined data flow
- Implement automated quality control processes
- Improve data reliability, efficiency and quality
- Manage and govern clinical trial data assets with CDISC SDTM
- Research new data tools and propose pipeline improvements
Perks/Benefits
Skills/Tech-stack
ADaM | AWS SageMaker | Amazon Web Services | C# | C++ | CDISC | Clinical Practice | Data Management | Data Mining | Data Modeling | Data Quality | Data Transformation | Data pipeline | Data quality control | Docker | Elasticsearch | Feature Engineering | Good Clinical Practice | ICH Guidelines | Informatica PowerCenter | Java | JavaScript | Kubernetes | Machine Learning | MarkLogic | Master Data | Master Data Management | Medidata Rave | Metadata Extraction | NoSQL | Python | Quality Control | R | SAS | SDTM | SQL | Scala | Vault EDC | Veeva Vault | Veeva Vault EDC | Web Services | Workflow Orchestration
Education
Roles
Regions
Countries
States
Cities
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