Applied AI Scientist – R&D and Regulatory

Role: AI Scientist in R&D and Regulatory focused on developing AI systems to accelerate product development and regulatory processes. Responsibilities include building models to analyze health authority correspondence, developing retrieval and generation AI systems for scientific and regulatory content, designing validation frameworks, executing AI validation under GxP standards, and establishing data pipelines for unstructured scientific data. The role also involves measuring business impact, presenting technical validation to leadership, and supporting literature and patent mining for portfolio insights. Requirements: Bachelor's degree in Computer Science, Computational Chemistry, Bioinformatics, or related field; 5+ years in developing and deploying machine learning or AI in production; proficiency with Python, large language models, NLP, and agentic frameworks; experience with AI validation in regulated environments. Preferred: Master's or Ph.D., experience with Databricks and cloud ML platforms (e.g., SageMaker), knowledge of GxP, 21 CFR Part 11, and health authority submission content. High-Value: focus on pharmaceutical regulatory content, GxP compliance, NLP over technical/scientific text, regulated industry AI governance. Work setup: Not specified; salary $190K-$225K, plus performance-based incentives.