Senior Scientific Data Engineer — AI Integrations Lead

Arbeitnow; Schweiz; On-site; CHF 120,000 - 180,000; Full time

Benefits offered by this job

Equity

Generous PTO

No visa sponsorship

Job summary

TetraScience in Switzerland seeks a senior, hands-on data engineer to join forward deployed teams, delivering AI-enabled data integrations and products for biotech and pharma customers across labs and manufacturing.

You will mentor junior engineers, design data schemas, and deploy cloud and on‑prem solutions with ELN/LIMS integrations, collaborating with Product Managers and Solution Architects to turn objectives into scalable data products.

Qualifications

• Data Engineer or similar field with proven delivery of data products and integrations.
• Expertise in Python and working knowledge of JavaScript, TypeScript, Node, React, SQL.
• Familiarity with networking, CI/CD, and full stack development.
• Cloud engineering on AWS (S3, Lambda, ECS, SQS, SNS, EC2, CloudWatch).
• Experience in biotech/pharma contexts and regulated environments (GxP).
• Experience working with non-clinical data and lab scientists.
• Strong communication, attention to detail, and delivery leadership.

Responsibilities

• Act as forward deployed engineer for a portfolio of biotech, pharma, and scientific customers.
• Design, build, and ship integrations and data products on Tetra OS using Python/TypeScript.
• Lead internal design sessions and mentor junior data engineers.
• Collaborate with Product Managers and Solution Architects to convert objectives into solutions.
• Deploy and test solutions in cloud, on-prem, and hybrid environments; troubleshoot full stack issues.

Skills

Python

JavaScript

TypeScript

Node.js

React

SQL

Tools

AWS

Serverless

Terraform

Docker

Job description

TetraScience in Switzerland seeks a senior, hands-on data engineer to join forward deployed teams, delivering AI-enabled data integrations and products for biotech and pharma customers across labs and manufacturing.

You will mentor junior engineers, design data schemas, and deploy cloud and on‑prem solutions with ELN/LIMS integrations, collaborating with Product Managers and Solution Architects to turn objectives into scalable data products.