Principal Exposure Data Scientist - Chemical Insights Research Institute
Tasks
- Build ETL pipelines for chemical exposure systems
- Build data analysis pipelines
- Collaborate on cross disciplinary data integration
- Communicate technical results to stakeholders
- Design data science methods for chemical exposure
- Develop machine learning solutions for data extraction and evaluation
- Develop predictive statistical and machine learning models
- Extract curate harmonize chemical exposure data
- Implement quality assurance for data curation
- Present findings at conferences
- Provide technical support and troubleshooting
- Publish peer reviewed reports
- Write research proposals
Perks/Benefits
- 401k matching
- Dental insurance
- Flexible working arrangements
- Health insurance
- Life insurance
- Paid time off
- Vision insurance
Skills/Tech-stack
Artificial Intelligence | Data Curation | Data Interoperability | Data Mapping | Data Visualization | Data extraction | ETL | GitHub | Java | Machine Learning | NoSQL | PostgreSQL | Python | Quality Assurance | R | Relational databases | SQL | Statistical modeling
Education
Roles
Data Scientist | Principal | Principal Data Scientist | Scientist
Regions
Countries
States
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