AI Data Engineer--In Vivo Data
USA - MA - Cambridge Kendall Sq. 610 Main, United States
USD 106K-176K Mid-level Full Time
Tasks
- Build and scale AI ready data architecture
- Create data products for translational studies
- Curate and integrate public domain datasets
- Design data capture metadata tagging and storage strategy
- Develop data analysis pipelines
- Develop data platform for in vitro and in vivo correlation analysis
- Drive collaborations with external companies and academic institutions
- Implement test and validate data analysis and visualization methods
- Onboard colleagues and deliver workshops hackathons trainings and talks
- Process analyze and integrate in vivo pharmacodynamics and toxicology data
- Publish and present research in journals and conferences
- Roll out data products for data access patterns
Perks/Benefits
- 401k plan
- Dental insurance
- Health insurance
- Hybrid work
- Paid Holidays
- Paid personal days
- Paid vacation
- Relocation assistance
- Vision insurance
Skills/Tech-stack
CI/CD | Cloud Architecture | ETL | LLM | Machine Learning | Nextflow | PostgreSQL | PyTorch | PyTorch Lightning | Python | RAG | React | TypeScript
Education
Roles
Regions
Countries
States
Cities
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