Scientific Business Analyst, Scientific AI

Summary

Join TetraScience, a leader in Scientific Data and AI Cloud, as a strategic professional passionate about bridging scientific insights and cutting-edge technology. You will collaborate with scientists, product managers, and engineers to transform complex scientific data into actionable outcomes. Leveraging deep domain knowledge in drug discovery/preclinical development, CMC, or Quality, you'll uncover innovative AI/ML applications. This role demands a high-speed, forward-thinking individual with extreme ownership and a proven ability to maximize data value. You will be responsible for defining requirements for complex solutions and fundamentally changing the life science industry. TetraScience offers 100% employer-paid benefits, unlimited PTO, 401K, flexible working arrangements, company-paid life insurance, and a culture of continuous improvement.

Requirements

• PhD with 15+ years of industry experience in life sciences with extensive domain knowledge in drug discovery (target ID through lead optimization), preclinical development, CMC (all drug modalities), or product quality testing
• Proven track record of defining and implementing AI/ML-driven use cases in productized environments
• 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

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, ERDs, 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

Benefits

• 100% employer-paid benefits for all eligible employees and immediate family members
• Unlimited paid time off (PTO)
• 401K
• Flexible working arrangements - Remote work
• Company paid Life Insurance, LTD/STD
• A culture of continuous improvement where you can grow your career and get coaching