Job Description
Senior Scientific Business Analyst – DMPK/Metabolite ID
Our client is a fast-growing Scientific Data and AI Cloud company transforming how life sciences organizations manage and leverage their data. By combining next-gen lab data management, scientific use cases, and AI-enabled outcomes, we’re catalyzing a new era of Scientific AI.
We’re looking for a Senior Scientific Business Analyst with deep DMPK and Metabolite ID expertise to help customers unlock the full potential of their scientific data. In this customer-facing role, you’ll bridge scientists, engineers, and product teams—turning complex datasets into actionable AI/ML use cases that accelerate decision-making.
What You’ll Do
- Investigate customer datasets to identify enrichment opportunities and AI-readiness factors
- Define and refine AI/ML-driven scientific use cases with customers
- Guide scientists on expanding and leveraging their data for AI applications
- Perform exploratory data analysis (EDA) and define transformations for AI/ML
- Develop workflow diagrams, process mappings, and ontology definitions
- Provide feedback on AI/ML models to improve outcomes
- Conduct demos, showcase AI applications, and drive adoption
What You Bring
- PhD with 15+ years in life sciences and deep DMPK / Metabolite ID expertise
- Experience with ADME, PK/PD modeling (NONMEM, Phoenix WinNonlin), in vitro/in vivo studies, LC-MS/MS, and CYP450 profiling
- Proven record implementing AI/ML use cases for DMPK and Metabolite ID
- Strong cross-functional collaboration and workflow optimization skills
- Excellent communication and storytelling ability across scientists and executives
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