Applied AI Scientist – R&D and Regulatory
Tasks
- Build NLP models for health authority correspondence
- Create AI assisted drafting and labeling comparison
- Design generative system evaluation frameworks
- Develop retrieval generation systems over controlled content
- Educate organization on agentic system usage
- Establish validation and model failure taxonomies
- Implement production data pipelines for unstructured documents
- Measure cycle time and capacity outcomes
- Mine literature patents and prior art
- Parse documents and extract entities from legacy PDFs
- Perform automated regression testing
- Present validation evidence and limitations to stakeholders
- Run generative AI validation under GxP
- Support submission risk identification prior to filing
Perks/Benefits
Skills/Tech-stack
21 CFR | 21 CFR Part 11 | AI Governance | AI Validation | Agent systems | Amazon Bedrock | Amazon SageMaker | CFR Part 11 | Data Pipelines | Databricks | Delta Lake | Document parsing | ECTD | Entity Extraction | GAMP 5 | Generative AI | GxP | GxP AI Validation | Information Extraction | Language Models | Language Processing | Large Language Models | MLflow | Machine Learning | Multi-Agent | Multi-Agent Systems | Multi-step orchestration | NLP | Natural Language | Natural Language Processing | OCR | Part 11 | Python | Regulated data | Retrieval-Augmented Generation | Risk classification | Semantic Search | Tool use | Unity Catalog
Education
Regions
Countries
States
Cities
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