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Software engineer - £80k sow project - id39826

JR United Kingdom
Software engineer
€80,000 - €100,000 a year
Posted: 7 May
Offer description

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Software Engineer - £80k SoW Project - ID39826, United Kingdom


Client:

Humand Talent


Location:

United Kingdom


Job Category:

Other


EU work permit required:

Yes


Job Views:

4


Posted:

05.05.2025


Expiry Date:

19.06.2025


Job Description:

Build Something Meaningful: Lead the Development of a Web-Based Digital Pathology Viewer

Are you passionate about creating intuitive, high-performance web applications in healthcare and life sciences?

Do you enjoy working on tightly scoped, impactful projects that require a balance of innovation, compliance, and precision?

Would you be excited to shape a mission-critical platform supporting pathologists and researchers working on clinical trials?

This is the opportunity for you.


What’s Involved

Our client seeks experienced consultants, development firms, or technical contractors to design and deliver a web-based digital pathology viewer. This solution will be hosted in AWS, meet FDA 510(k) regulatory standards, and integrate seamlessly into existing clinical trial web systems.

This isn't a speculative build; it’s a real-world, regulatory-grade platform that must be performant, secure, and compliant from day one.


Why This Role is Great

* Own a Greenfield Build: Shape the architecture and design of a critical medical device viewer from scratch.
* Deliver an Embedded Experience: Create a highly embeddable, framework-agnostic component for seamless integration.
* Balance Innovation with Compliance: Build a modern interface that meets strict regulatory demands (HIPAA, GDPR, 21 CFR Part 11).
* Enhance Research Impact: Support life sciences professionals reviewing pathology slides in cutting-edge clinical trials.
* Control Your Stack: Manage backend communication, AWS-native hosting, and adopt a component-first development approach.


The Tech Environment

* Responsive Design: Optimized for desktop with high-resolution image handling.
* Direct S3 Integration: Viewer accesses and annotates pathology slides stored in S3 buckets.

Performance is critical: slide load times must be optimized.

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