Senior Scientific Data Engineer: AI Lab Integrations

TetraScience, Inc.; United Kingdom; On-site; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Competitive salary

Equity

Generous PTO

No visa sponsorship

Job summary

TetraScience, Inc. is seeking a senior, hands-on data engineer to join our forward deployed teams. You will work directly with biotech, pharmaceutical, and scientific customers to design, build, and ship integrations and data products on Tetra OS that accelerate discovery and manufacturing.

You will mentor other data engineers and collaborate with Product Managers to translate customer needs into scalable, commercial solutions across cloud, on-prem, and hybrid environments.

Qualifications

• Proven history building data products and integrations for biotech/pharma.
• Hands-on data engineering with Python and JavaScript/TypeScript.
• Experience in cloud engineering on AWS and regulated environments (GxP).
• Strong communication and project delivery leadership.
• Experience working with cross-functional customer projects.

Responsibilities

• Act as a forward deployed engineer for biotech and pharma customers.
• Own technical relationships and deliver end-to-end data integration solutions.
• Build bidirectional integrations between Tetra OS and customer systems (ELN, LIMS, MES).
• Develop data schemas and parsers for diverse lab and manufacturing data.
• Deploy and test solutions across cloud, on-premises, and hybrid networks.
• Create test automation and enforce design quality.
• Mentor junior engineers and lead design sessions with product teams.

Skills

Python

JavaScript/TypeScript

Node

React

SQL

CI/CD

Full stack development

AWS

GxP

Tools

ELN

LIMS

Job description

TetraScience, Inc. is seeking a senior, hands-on data engineer to join our forward deployed teams. You will work directly with biotech, pharmaceutical, and scientific customers to design, build, and ship integrations and data products on Tetra OS that accelerate discovery and manufacturing.

You will mentor other data engineers and collaborate with Product Managers to translate customer needs into scalable, commercial solutions across cloud, on-prem, and hybrid environments.