The Scientific Data Architect role at TetraScience is designed for a driven individual who will engage with customers to address their scientific data challenges. The primary responsibilities include designing reusable data models, implementing solutions, and collaborating across teams to maximize the value of scientific data. Candidates should hold a PhD or Masters in life sciences and possess a strong background in AI/ML-driven use cases.