AI Data Engineer--Computational Toxicology (Senior Associate)
Tasks
- Apply coding hygiene version control testing and documentation
- Automate scientific workflows
- Build and maintain datasets and databases
- Curate and engineer AI ready datasets
- Document results and communicate progress
- Ensure data integrity, security, and regulatory compliance
- Implement reusable data pipelines
- Integrate multi-modal datasets
- Participate in team discussions to improve workflows
- Prepare and validate data for machine learning workflows
Perks/Benefits
- 401k match
- Caregiver parental leave
- Health insurance
- Medical leave
- Paid holiday
- Paid personal days
- Paid vacation
Skills/Tech-stack
Data Analysis | Data Architecture | Data Curation | Data Engineering | Data Integrity | Data Quality | Data Security | Data Visualization | Data pipeline | Database Management | Documentation | Exploratory Data Analysis | Git | MLOps | Machine Learning | Nextflow | NumPy | Pandas | Python | R | Regulatory Compliance | Shiny | Streamlit | Testing | Version control
Education
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