Senior Scientific Data Engineer
USD 128K-156K Senior-level Full Time
Tasks
- Architect agentic and multi agent workflows
- Build reusable AI capabilities
- Collaborate on governance and productionization
- Communicate risks limitations and evaluation outcomes
- Design evaluation methodologies
- Establish benchmarks and uncertainty characterization
- Integrate MCP enabled tool integrations
- Partner with scientific teams to identify AI opportunities
- Stay current with agentic and evaluation research
- Translate scientific questions into AI specifications
Perks/Benefits
Skills/Tech-stack
Agent systems | Agentic Workflows | Benchmarking | Biomedical Ontologies | Calibration | Data Quality | Evaluation Frameworks | Graph-based | Graph-based Reasoning | GraphRAG | Information Retrieval | Knowledge graphs | Language Models | Language Processing | Large Language Models | Machine Learning | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | Prompt engineering | Provenance | Python | Reproducibility | Retrieval-Augmented Generation | Tool integration | Uncertainty Quantification
Education
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