Software Engineer III, Digital Pathology Image Management System development C#

Make a Meaningful Impact

Ready to join a team where your work makes a daily difference in healthcare?

Epredia is a global leader in precision cancer diagnostics solutions. In fact, every second, our products are used 48 times in labs and medical facilities around the world.

We are a proud member of PHC Group, a global collection of companies committed to delivering precision technology for the future of healthcare, from specialized medical equipment to health IT systems to research tools.

Title: Software Engineer, Digital Pathology Image Management System development - C#

Location: Runcorn, UK

Work Arrangement: Hybrid

Employment Type: Full-time

Epredia is looking for a Software Engineer to help advance the future of digital pathology. In this role, you will develop innovative C# solutions that power diagnostic workflows, enhance image management platforms, and support AI-driven capabilities in a regulated healthcare environment. Working with cutting-edge imaging technologies, cloud solutions, and laboratory systems, you will have the opportunity to make a direct impact on pathology professionals and patient care worldwide.

Epredia’s E1000 Dx Digital Pathology Solution Wins 2025 International Scanner Benchmark Awards from the Ecosystem for Pathology Diagnostics with AI Assistance (EMPAIA) - Epredia

Bring Your Expertise

Ready to Make an Impact?

If this opportunity aligns with your skills and career goals, we'd love to hear from you. Apply today and take the next step in your career with us.

Building an Inclusive Culture

We are a company that brings the best people together and leverages their varying backgrounds, ideas, and points of view to invent on behalf of all customers. We are committed to equal employment opportunity for all individuals, without regard to race, color, national origin, ancestry, sex, age, religion, physical or mental disability, medical condition, veteran status, marital status, pregnancy, sexual orientation, gender identity, genetic information, or any other protected classes which may exist under applicable federal, state, or local law.