ABOUT

For our ambitious and growing Computational Pathology team at AstraZeneca Computational Pathology GmbH, we are looking for a software developer with a background in machine learning (ML) and data handling workflows. The group aims to establish a pipeline of computational pathology-based scoring methods. We aim to improve clinical outcome and transform traditional practice in the future and develop a first in-class computational pathology-based Diagnostics (Dx) product and establishing AstraZeneca as a market leader in AI-based Dx solutions with clinical utility.
The position is initially limited to one year.

In your role you will support the development of computational pathology workflows through tool development and workflow automation. The role requires working cross-functionally with different computational pathology functional groups as well as external stakeholders. In this role you will support development of computational pathology workflows by:

• Working cross-functionally to collect and understand user requirements, establish workflow designs and efficient software solutions.
• Developing novel, or improve existing tools used in the computational pathology workflows.
• Add new features, fix bugs, raise test coverage and improve documentation and work towards ensuring compliance of processes and developed tooling.