Senior Revenue Analyst
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Scientific Business Analyst, Medicinal Chemistry
TetraScience
full-time
Posted on:
Origin: • 🇺🇸 United States • Massachusetts
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
PythonSQLVault
About the role
- 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
Requirements
- PhD or MS in Organic Chemistry, Medicinal Chemistry, or related field with 3+ years of post-graduate industry experience (med chem, DMPK, or analytical)
- Been at the bench or in a med chem team, has curated or managed chemical/assay data
- Hands-on experience in synthetic chemistry or medicinal chemistry with exposure to DMTA workflows and data-driven decision-making
- Familiarity with cheminformatics and scientific data tools such as LiveDesign, D360, KNIME, Pipeline Pilot, Spotfire, CDD Vault, StarDrop, Genedata
- Ability to understand and communicate both scientific and technical concepts, including assay design, SAR analysis, plate-based workflows, and LC-MS data
- Strong skills in data curation, pipeline development, and workflow automation; exposure to SQL or Python preferred
- Experience performing extensive exploratory data analysis and workflow optimization
- Ability to engage diverse audiences, from scientists to executive stakeholders using excellent communication and storytelling abilities
- Experience advising scientists in a consulting capacity to further research, development, and quality testing outcomes
- Passion for enabling AI/ML solutions in drug discovery and development
