Data Engineer, Translational Data Management, Automation & AI
Tasks
- Build and test R pipelines
- Contribute to CI/CD pipelines
- Design data ingestion pipelines
- Generate study specific analysis bundles
- Handle errors and remediation workflows
- Implement automated data validation
- Integrate workflow automation and generative AI
- Maintain documentation runbooks onboarding guides
- Maintain harmonization and mapping logic
- Onboard new assays and manage data transfer specs
- Perform data quality control checks
- Write tested maintainable Python code
Perks/Benefits
- N/A
Skills/Tech-stack
ADaM | AWS | Agentic Automation | Airflow | CDISC | CI/CD | Codex | Controlled vocabularies | Data handling | Data harmonization | Database Design | Databricks | Docker | Exome sequencing | Flow Cytometry | Generative AI | Genome Sequencing | Git | HPC | Immunoassay | Immunohistochemistry | Metabolomics | Methylation | Nextflow | Proteomics | Python | R | RNA-seq | SDTM | Secure Data | Secure Data Handling | Snakemake | Whole-genome sequencing | Workflow Orchestration
Education
Roles
Data Engineer | Engineer | Platform | Platform Engineer | Software Engineer
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