TetraScience is a leading company in the Scientific Data and AI sector, driving the Scientific AI revolution through innovative lab data management solutions. The Scientific Business Analyst will collaborate with scientists and engineers to transform complex scientific data into actionable outcomes, focusing on Analytical Development and synthetic route optimization.
Responsibilities:
- Investigate customer datasets to identify gaps, enrichment opportunities, and AI-readiness factors
- Collaborate with customers to define, iterate, and refine AI/ML-driven scientific use cases
- Interview scientists and guide them in expanding and leveraging their data for AI applications
- Perform exploratory data analysis (EDA) and define data transformations for AI/ML use cases
- Develop workflow diagrams, process mappings, AS-IS/TO-BE workflows, and ontology definitions
- Provide feedback on AI/ML models to enhance scientific outcomes and improve product offerings
- Conduct technical demonstrations, showcase AI applications, and drive adoption
- Proactively suggest experiments or data strategies that strengthen customer insights and outcomes
Requirements:
- M.S or PhD with 8-10+ years of industry experience in life sciences with extensive domain knowledge in Analytical Development and/or synthetic route optimization
- Proven track record of defining and implementing AI/ML-driven use cases in productized environments to support analytical method development and/or synthetic route optimization
- Collaborated with cross-functional teams, including product managers, software engineers, and scientific stakeholders
- Performed extensive exploratory data analysis and workflow optimization to enable scientific outcomes not previously possible
- Engaged diverse audiences, from scientists to executive stakeholders using your excellent communication and storytelling abilities
- Advised scientists in a consulting capacity to further research, development, and quality testing outcomes