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You will be updated with latest job alerts via emailFor 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 pathologybased scoring methods. We aim to improve clinical outcome and transform traditional practice in the future and develop a first inclass computational pathologybased Diagnostics (Dx) product and establishing AstraZeneca as a market leader in AIbased Dx solutions with clinical utility.
In your role you will support the development of computational pathology workflows through tool development and workflow automation. The role requires working crossfunctionally with different computational pathology functional groups as well as external stakeholders. In this role you will support development of computational pathology workflows by:
Working crossfunctionally 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.
Desired Profile
Education
Bachelors or Masters degree in computer science / bioinformatics computational biology or a related field. Equivalent work experience in a data management role within the healthcare clinical or biotechnology sectors is highly desirable.
Experience
Minimum of 35 years of experience in data management preferably within a healthcare clinical or computational pathology environment.
Demonstrated experience working with imaging data clinical trial data or similar multisource datasets.
Technical Skills
Python (excellent required) TypeScript/Node/JavaScript (desirable) Go (nice to have)
Software engineering best practices with the aim of writing high performant modern bugfree code proper documentation of code unittesting code quality etc. (required)
TensorFlow PyTorch (good working knowledge)
Frameworks such as Keras PyTorch Lightning Ignite (good working knowledge in any)
Processing platforms such as Kubeflow or Airflow (optional)
Image processing/Computer Vision problems (highly recommended) e.g. experience with OpenCV (optional)
Acceleration frameworks such as Numba targeting CPU/GPU (recommended)
Cloud computing infrastructure in particular AWS (recommended)
Experience of working in a regulated environment developing code under preset regulatory rules (nice to have)
Soft Skills
Effective communication skills both written and verbal.
A collaborative mindset with the ability to build and maintain relationships with crossfunctional teams external partners and stakeholders.
Excellent organizational skills with the ability to manage multiple datasets and projects simultaneously.
Strong problemsolving and troubleshooting skills with attention to detail in ensuring data quality and compliance.
Benefits
Individual development opportunities and a focus on lifelong learning.
A diverse inclusive and unbiased work environment.
Trust appreciation and space for cocreation.
Wellbeing and Mobility Benefits.
Date Posted
13Mai2025Closing Date
12Mai2025AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds with as wide a range of perspectives as possible and harnessing industryleading skills. We believe that the more inclusive we are the better our work will be. We welcome and consider applications to join our team from all qualified candidates regardless of their characteristics. We comply with all applicable laws and regulations on nondiscrimination in employment (and recruitment) as well as work authorization and employment eligibility verification requirements.
Full-Time