
Scientific Data Architect will design and implement data models and solutions for scientific use cases. Responsibilities include data model design, Python-based parser development, lab software integration, and data visualization. Requires PhD with +4 years or Masters with +8 years of industry experience in life sciences with domain knowledge in drug discovery, preclinical development, CMC, or product quality testing. Proven track record of defining, designing, prototyping, and implementing productized AI/ML-driven use cases in cloud environments is required.