Scientific Data Architect - New York, NY

PhD with 7+ years / Masters with 10+ years of industry experience in life sciences Extensive 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 Collaborated with cross-functional teams Performed extensive exploratory data analysis and workflow optimization Engaged diverse audiences with excellent communication and storytelling abilities Advised scientists in a consulting capacity Product-minded, outcome-obsessed driver of technical scientific solutions High velocity self-starter Insatiable learner Embody principles of extreme ownership

Engage directly with customers onsite in the Copenhagen Region Design and implement extensible, reusable data models for scientific data Translate scientific data workflows into solutions using the Tetra Data Platform Own, scope, prototype, and implement solutions including data model design, Python parser development, lab software integration, and data visualization/app development Collaborate with Scientific Business Analysts, customer scientists, and applied AI engineers Programmatically interrogate proprietary instrument output files Iterate with scientific end users and technical stakeholders Communicate implementation progress and deliver demos Collaborate with the product team to build and prioritize the roadmap Rapidly learn new technologies