Scientific Data Architect - New York
TetraScience(6 months ago)
About this role
TetraScience is a Scientific Data and AI company focused on industrializing AI-native scientific data sets for life sciences. This role partners with biopharma customers and cross-functional teams to translate complex scientific data into productized, AI/ML-driven solutions and outcomes. The position requires deep domain expertise in drug discovery, preclinical development, CMC, or product quality testing and a strong orientation toward delivering scientific value.
Required Skills
- Data Modeling
- Python
- API Integration
- Data Visualization
- Machine Learning
- Cloud
- ELN/LIMS
- Instrument Parsing
- Prototyping
- Stakeholder Communication
+1 more
Qualifications
- PhD in Life Sciences
- Master's in Life Sciences
About TetraScience
tetrascience.comTetraScience is a pioneering company dedicated to transforming scientific research through its vendor-neutral, open, cloud-native platform designed specifically for the life sciences industry. The Tetra Scientific Data and AI Platform facilitates advanced lab data automation and scientific data management, empowering organizations to make data-driven decisions and accelerate their research processes. With a focus on integrating foundational building blocks for Scientific AI, TetraScience enables scientists to start their AI journey seamlessly.
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