Scientific Data Architect - Boston
TetraScience(7 months ago)
About this role
A customer-facing technical role at TetraScience focused on industrializing Scientific AI for the biopharma domain. The role partners closely with customers and cross-functional teams to translate complex scientific data workflows into scalable product solutions and drive scientific outcomes. Based in the Boston region, it requires deep life sciences domain expertise and frequent onsite engagement.
Required Skills
- Data Modeling
- Python
- APIs
- ELN/LIMS
- Data Visualization
- Streamlit
- AWS
- Machine Learning
- Prototyping
- Exploratory Analysis
+1 more
Qualifications
- PhD in Life Sciences (7+ years experience)
- Masters in Life Sciences (10+ years experience)
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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