Serve as a subject matter expert to define regulatory content standards and ensure AI platform outputs meet agency expectations. Collaborate on designing tasks and workflows to improve the accuracy and quality of regulatory submission data.
The role involves annotating and evaluating outputs from AI systems to support scientific research and discovery. You will also be responsible for generating and reviewing tasks to baseline AI performance against human expert standards.
Serve as a subject matter expert to validate AI-generated DMPK outputs, including PK analyses, ADME interpretations, and IND report sections. Collaborate with the team to improve AI platform training by identifying data discrepancies and providing realistic ground-truth artifacts.
The consultant will serve as a scientific expert on human PK/PD to guide the development of AI-generated clinical pharmacology outputs. They will also assist in evaluating data quality, identifying regulatory workflows, and creating ground-truth artifacts for AI training.
The consultant will serve as a subject matter expert to define standards for AI-generated toxicology data and reports. They will also evaluate and critique AI performance to ensure scientific accuracy and regulatory compliance for IND submissions.
Build and manage the commercial operating system, including planning, forecasting, and CRM architecture. Design scalable deal desk processes and AI-native workflows to improve GTM productivity and execution.
Lead the full commercial cycle for a portfolio of strategic biopharma accounts to drive revenue and enterprise deployment. Partner with internal scientific and product teams to align AI capabilities with high-priority R&D needs.
Lead the onboarding and adoption of AI agents for pharmaceutical and biotechnology customers to ensure they realize measurable value. Manage account health, run executive reviews, and translate customer insights into repeatable commercial playbooks.
The role involves embedding with pharma and biotech R&D teams to integrate AI agents into scientific workflows and drive value creation. You will act as the bridge between customer needs and the internal product roadmap, owning the end-to-end delivery and reliability of AI solutions.
