Computational Pathology Senior Software Developer for medical applications at AstraZeneca
80687 München, , Germany -
Full Time


Start Date

Immediate

Expiry Date

06 Sep, 25

Salary

0.0

Posted On

06 Jun, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Aws, Computer Science, Jira, Python, Opencv, Docker, Azure, Kubernetes

Industry

Computer Software/Engineering

Description

ABOUT ASTRAZENECA

AstraZeneca is a global, science-led, patient-focused biopharmaceutical company that focuses on the discovery, development and commercialisation of prescription medicines for some of the world’s most serious diseases. But we’re more than one of the world’s leading pharmaceutical companies.

SITE DESCRIPTION - MUNICH, GERMANY.

Welcome to Computational Pathology Munich, one of over 400 sites here at AstraZeneca, providing a collaborative environment where everyone feels comfortable and able to be themselves is at the core of AstraZeneca’s priorities, it’s important to us that you bring your full self to work every day. To help you maintain your best self, here’s a sneak peek into some of the things this site provides for you: After-work events, lunch & learns, spacious environment, sustainable office working environment, events, family and childcare support and of course the Alps around the corner for hiking, biking and skiing.

Responsibilities
  • Develop and deploy scalable AI based computational pathology image analysis algorithms to process large datasets efficiently.
  • Collaborate with software developers, data scientists and other domain experts to design and implement software systems for image processing and analysis.
  • Optimize algorithms for performance and scalability on various computing platforms.
  • Software technical documentation (e.g., software specifications, design, architecture, and user guides).
  • Ensure data quality and integrity throughout the processing workflow.
  • Troubleshoot, debug, and upgrade existing software applications.
  • Serves as a technical liaison with internal teams working on new technologies to advance the development of new computational pathology solutions. Provide feedback on applicability and scalability
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