TetraScience is a Scientific Data and AI Cloud company focused on catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets.
The company is a leader in the market, generating more revenue than all other companies combined in this sector.
Candidates are encouraged to review the "Tetra Way" letter to understand the company's values and ethos.
The ideal candidate is a product-minded, outcome-obsessed individual who is a high-velocity self-starter.
The role requires collaboration with scientists, product managers, and engineers to transform complex scientific data into actionable outcomes.
Candidates should have experience applying cutting-edge data methodologies in the biopharma R&D domain.
The position demands a strong commitment to building extensible data models and applications for Biopharma end users.
The role requires self-discipline and determination to change the life science industry fundamentally.
Requirements:
A PhD with 7+ years or a Master's degree with 10+ years of industry experience in life sciences, with extensive knowledge in drug discovery, preclinical development, CMC, or product quality testing.
A proven track record of defining, designing, prototyping, and implementing AI/ML-driven use cases in cloud environments.
Experience collaborating with cross-functional teams, including product managers, software engineers, and scientific stakeholders.
Ability to perform extensive exploratory data analysis and workflow optimization to enable scientific outcomes.
Excellent communication and storytelling abilities to engage diverse audiences, from scientists to executive stakeholders.
Experience advising scientists in a consulting capacity to enhance research, development, and quality testing outcomes.
Benefits:
Competitive salary and equity in a fast-growing company.
A supportive, team-oriented culture focused on continuous improvement.
Generous paid time off (PTO) policy.
Flexible working arrangements, including remote work when not at customer sites.
