Principal Software Engineer – Data & AI Platforms for Drug Discovery

This role builds scalable data and software platforms that support drug discovery research, integrating data pipelines, AI/ML models and molecular design workflows.

Your tasks

• Design and build interactive tools for small and large molecule drug discovery workflows
• Build and enhance a scalable ecosystem of applications and tools for scientific data
• Design complex, user-friendly data applications and pipelines across scientific domains
• Apply microservices and event-driven architecture to improve data workflows
• Integrate diverse data sets to power AI, ML and natural language search capabilities
• Collaborate with computational and research scientists to translate challenges into solutions
• Provide technical leadership and mentor junior developers

What you bring

• PhD or 8-10+ years of experience in life science building full-stack software solutions
• Strong software engineering expertise in backend (Python, Java) and frontend (React, Vue)
• Deep experience with data engineering, databases (SQL/NoSQL), ETL/ELT and APIs (REST, GraphQL)
• Experience deploying applications on cloud-native architectures, preferably AWS
• Experience setting up SDLC best practices including versioning, testing, CI/CD
• Ability to architect scalable solutions in complex, multi-system environments
• Outstanding communication skills to articulate technical concepts to diverse audiences

Conditions

• Workload: 100 %
• Option of a permanent position after the assignment if both sides want it

Technologies

• Python
• Java
• React
• Vue
• SQL
• NoSQL
• REST
• GraphQL
• AWS
• CI/CD

How to apply

You apply with your Try&Hire profile: upload your CV, check the details, enter key facts and availability. A short introduction video is optional but helps. Our team will get in touch if your profile fits the assignment.