Senior-Principal Scientific Data Architect
Cambridge, England, United Kingdom
SciPro
levels) Extensive knowledge of Drug Discovery, Development/Manufacturing or similar Life Science domain Fluency in Python, Data Modelling, Engineering, Analysis and Visualisation (tabular & JSON, SQL, NoSQL, Ontologies, Streamlit, Plotly, Holoviews) A track record of architecting productionised scientific solutions , integrated with AI/ML and APIs for Biopharma end users Strong communication skills to engage across leadership, scientific and technical More ❯
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