Senior Scientific Data Engineer
Core
Lead the Scientific Data Engineering team to build Tetra Data and productizable solutions that turn fragmented scientific data into AI-native assets for life sciences firms.
Role type
Senior Scientific Data Engineer (Team Lead)
Builds
Production data pipelines, reusable Python libraries, data applications, reports, and dashboards for pre-clinical data.
Domain
Life Sciences / Scientific Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data engineering, Python, SQL, project leadership, cross-functional collaboration, Agile sprint management, unit/integration testing, data modeling, schema design, parser development
Preferred skills
Dashboarding with React/Streamlit, pre-clinical data experience, lab scientist collaboration
Technologies
Python, SQL, React, Streamlit, Jupyter notebook
Responsibilities
Architect data solutions and lead design sessions, build data models and integration solutions, develop data pipelines with full test coverage, create data applications and dashboards, mentor junior engineers, drive process improvements, and manage customer-focused implementation projects.
Seniority
Senior, hands-on IC with team leadership
