Scientific Business Analyst, AI

Job not on LinkedIn

March 21

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Logo of TetraScience

TetraScience

Artificial Intelligence • Biotechnology • SaaS

TetraScience is a company dedicated to transforming raw scientific data into AI-native datasets for advanced scientific applications. By collaborating closely with leading biopharmaceutical companies, TetraScience enhances productivity, accelerates insights, and ensures data integrity across the scientific value chain. Their platform offers solutions for next-generation lab data management, AI-driven scientific outcomes, and compliance with industry standards. As the first company to provide a data and AI cloud built specifically for science, TetraScience enables its clients to liberate, unify, and transform their data, overcoming traditional data silos and boosting scientific productivity by providing a flexible, open, and collaborative infrastructure.

51 - 200 employees

Founded 2015

🤖 Artificial Intelligence

🧬 Biotechnology

☁️ SaaS

📋 Description

• TetraScience is the Scientific Data and AI Cloud company. • We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets. • You are a strategic, analytically minded professional with a passion for bridging scientific insights and technology. • You thrive in environments where you can collaborate with scientists, product managers, and engineers to transform complex scientific data into actionable outcomes. • You will need to fundamentally embody the principles of extreme ownership and have a demonstrated history of deriving maximum value from data. • This role will require extreme self-discipline and determination as we forge a category that will fundamentally and forever change the life science industry.

🎯 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.

🏖️ 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

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