[Remote] Scientific Data Architect - Frankfurt, Germany at TetraScience

The role is listed as Remote but requires engaging directly with customers onsite a couple of days per week in the Frankfurt Region.

Candidates need a PhD with 7+ years or Masters with 10+ years of industry experience in life sciences, plus extensive domain knowledge in areas like drug discovery, preclinical development, CMC, or product quality testing.

Required skills include a proven track record of defining, designing, prototyping, and implementing productized AI/ML-driven use cases in cloud environments, experience with cross-functional collaboration, exploratory data analysis, and excellent communication for diverse audiences.

The culture values product-minded, outcome-obsessed drivers who are high-velocity self-starters with extreme ownership, self-discipline, and a passion for tackling challenges in a collaborative environment to industrialize Scientific AI.

Strong candidates have deep life sciences expertise, hands-on experience building AI/ML solutions for biopharma, proven consulting with scientists, and traits like insatiable learning, extreme ownership, and strong storytelling to engage stakeholders.