Business Analyst

• Serve as the bridge between medicinal chemists/DMPK scientists and technical teams, gathering requirements and translating them into clear specifications for data engineers and AI solution developers
• Partner with med chem teams on DMTA (design-make-test-analyze) cycles, ensuring scientific data flows between compound design, assay results, and decision-making workflows
• Map and harmonize scientific data across key platforms: LiveDesign (Schrödinger), D360, KNIME, internal databases (grdb) and other informatics tools; identify and resolve data comparability challenges across sites/vendors
• Collaborate with upstream (biology/target validation) and downstream (DMPK, safety, analytical) functions to ensure chemistry data is contextualized for cross-domain integration
• Support adoption of new tools and platforms (e.g., CDD Vault, StarDrop, Genedata, Pipeline Pilot, Spotfire) by defining requirements, building prototypes, and driving user feedback loops
• Develop user stories, workflows, and data models that guide engineering teams in building scalable solutions for chemistry data and AI/ML applications
• Work directly with partner’s scientists and TetraScience engineering teams to harmonize, contextualize, and enable advanced analytics on critical chemistry and DMPK datasets

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