Software Engineer (m/f/d) temporary until November 2025 at AstraZeneca
80636 München, Bayern, Germany -
Full Time


Start Date

Immediate

Expiry Date

18 May, 25

Salary

0.0

Posted On

18 Feb, 25

Experience

0 year(s) or above

Remote Job

No

Telecommute

No

Sponsor Visa

No

Skills

Software, Communication Skills, Soft Skills, Computational Biology, Keras, Airflow, Data Quality, Python, Code, Opencv, Unit Testing

Industry

Information Technology/IT

Description

SHAPE THE FUTURE OF PRECISION MEDICINE – JOIN OUR TEAM IN MUNICH IN THE FIELD OF COMPUTATIONAL PATHOLOGY!

Munich is not only a hub of innovation and science but also the location where we at AstraZeneca’s Computational Pathology are pushing the boundaries of digital pathology and data-driven research. In the field of Computational Pathology, we work at the intersection of artificial intelligence, machine learning and medical imaging to revolutionize diagnostics and therapy for patients worldwide.
Are you ready to tackle complex medical challenges using innovative technologies? Do you want to actively shape the future of personalized medicine and collaborate with interdisciplinary teams of scientists, bioinformaticians, and clinicians? If yes, we are looking for you to help us realize our vision of improved care for patients globally!
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.

Responsibilities
  • 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
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