[Remote] Scientific Data Architect - Tokyo, Japan at TetraScience

Candidates must possess a PhD with 7+ years of industry experience in life sciences or a Master's degree with 10+ years of experience, including extensive domain knowledge in drug discovery, preclinical development, CMC, or product quality testing. A proven track record of defining, designing, prototyping, and implementing productized AI/ML-driven use cases in cloud environments is required. Experience collaborating with cross-functional teams, performing extensive exploratory data analysis, and engaging diverse audiences with excellent communication skills is also necessary. Candidates must demonstrate extreme ownership and a history of building extensible data models and applications for Biopharma end users.