Scientific Data Architect
Core
Design and implement extensible data models and AI/ML-driven solutions to transform fragmented scientific data into actionable outcomes for life sciences firms.
Role type
Senior Scientific Data Architect (Product-minded IC)
Builds
Tetra OS (operating system for scientific intelligence) and Tetra Data Platform
Domain
Life sciences / Biopharma R&D / Scientific AI
Deliverable
production ML models
Required skills
Data model design (tabular & JSON), Python-based parser development, Lab software integration (ELN/LIMS) via APIs, Data visualization and app development (Streamlit, holoviews, Plotly), Cloud environment implementation, Scientific domain knowledge (drug discovery, preclinical, CMC, quality testing), Cross-functional collaboration, Customer onsite engagement
Preferred skills
Rapid learning of new technologies (AWS services, scientific analysis applications), Prototyping and demoing, Storytelling and communication with executive stakeholders
Technologies
Python, AWS, Streamlit, holoviews, Plotly, JSON, APIs
Responsibilities
Design extensible, reusable data models for scientific use cases; Translate scientific data workflows into robust solutions on the Tetra Data Platform; Own, scope, prototype, and implement solutions including data model design, parser development, and lab software integration; Collaborate with stakeholders to develop and deploy ML/AI models; Programmatically interrogate proprietary instrument output files; Engage directly with customers onsite to understand data challenges and accelerate solutions.
Seniority
Senior, hands-on IC
