Senior Scientific Data Engineer
Core
Senior Scientific Data Engineer building bidirectional integrations, data schemas, and full-stack data applications on Tetra OS for biotech and pharmaceutical customers.
Role type
Senior, hands-on IC scientific data engineer
Builds
bidirectional integrations, data schemas, parsers, and full-stack data applications for scientific workflows
Domain
Life sciences, biotech, pharmaceutical, scientific data, AI
Deliverable
production ML models
Required skills
Python, TypeScript, JavaScript, SQL, full stack development, cloud engineering, CI/CD, networking, GxP regulated environments
Preferred skills
biotech/pharma industry experience, experience with lab instruments and non-clinical data
Technologies
Python, TypeScript, Node, React, AWS (S3, Lambda, ECS, SQS, SNS, EC2, CloudWatch), ELN, LIMS, MES
Responsibilities
Design and build bidirectional integrations between Tetra OS and customer systems; design comprehensive data schemas and parsers for scientific data; deploy and test solutions in customer environments; create test automation; lead process and technology improvements; mentor junior engineers
Seniority
Senior, hands-on IC
