Software Engineer

Jobbeschreibung

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.

To exert influence

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.

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.

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, bug-free code, proper documentation of code, unit-testing, 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 pre-set 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 cross-functional teams, external partners, and stakeholders.

• Excellent organizational skills, with the ability to manage multiple datasets and projects simultaneously.

• Strong problem-solving and troubleshooting skills, with attention to detail in ensuring data quality and compliance.

Look forward to

• Individual development opportunities and a focus on lifelong learning

• A lot of trust, appreciation and room for contribution in a focused and passionate team

• A diverse, inclusive, and prejudice-free work environment

• A sustainable company