Principal Data Scientist - DDSAI - Agentic Lab Automation
US026 PA Spring House - 1400 McKean Rd, United States
USD 117K-201K Senior-level Full Time
Tasks
- Apply agentic AI to reduce cycle time manual intervention and improve reproducibility
- Architect vectorized semantically searchable reusable scientific data assets
- Build real time data pipelines connecting automation software data stores models and compute
- Design integrate and improve robotic lab execution workflows
- Design laboratory workflows optimized for AI driven learning
- Enable closed loop feedback between DMTA process steps and downstream models
- Ensure traceable interoperable AI ready data with metadata provenance lineage and governance
- Evaluate vendors tools and external capabilities for robotics and AI orchestration
- Implement resilient APIs observability versioning and workflow orchestration
- Lead cross functional alignment across discovery data science and IT
- Standardize assay outputs and semantically enrich datasets for discoverability
- Translate scientific priorities into automation and AI roadmaps
Perks/Benefits
- Inclusive work environment
- Opportunity to shape next generation discovery systems
- Stakeholder support
Skills/Tech-stack
API Integration | Artificial Intelligence | Cyber-Physical Systems | Data Governance | Data Lineage | Data Modeling | Data Pipelines | Data provenance | DevOps | FAIR-Data | Lab Automation | MLOps | Machine Learning | Observability | Ontology Engineering | Physical systems | Process Automation | Real Time | Real-time Data | Real-time data pipelines | Robotic Process | Robotic Process Automation | Semantic data | Semantic data modeling | Vector Databases | Version control | Workflow Orchestration
Education
Roles
Data Scientist | Principal | Principal Data Scientist | Scientist
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