Backend Developer, Aidence

Kotlin/Java

£60-75k

AWS

Docker

Kubernetes

GraphQL

Java

Kotlin

Spring

REST API

Senior and Expert level

Remote from UK

More information about location

AI-powered clinical applications for the lung cancer pathway

Be an early applicant

AI-powered clinical applications for the lung cancer pathway

21-100 employees

HealthcareB2BArtificial IntelligenceMachine LearningSaaSMedTech

Be an early applicant

£60-75k

AWS

Docker

Kubernetes

GraphQL

Java

Kotlin

Spring

REST API

Senior and Expert level

Remote from UK

More information about location

21-100 employees

HealthcareB2BArtificial IntelligenceMachine LearningSaaSMedTech

Company mission

To provide AI that empowers healthcare and pharmaceutical professionals to deliver faster, more precise diagnostics and treatments.

Job

Company

Role

Who you are

Strong backend development experience with Kotlin, or Java with demonstrated depth and willingness to work primarily in Kotlin
Experience with backend frameworks such as Spring Boot and/or Ktor
API-first development experience (REST and/or GraphQL)
Understanding or exposure to DICOM and HL7 would be advantageous
Previous experience in an environment leveraging technologies such as AWS, CI/CD, Docker, and Kubernetes would be advantageous
Comfortable working in regulated, compliance-heavy, potentially consequential domains
Experience working to complex specifications
Self-directed learner; comfortable ramping up quickly with minimal formal training
Genuine interest and passion for the work
A bachelor’s degree in an IT field
A minimum of 5 years of relevant professional experience, though we are open to candidates with less experience who demonstrate strong capability / growth potential
We tend to value practical experience and demonstrated impact over strict tenure or educational requirements

What the job involves

Collaborate with senior leadership and cross-functional stakeholders to design and deliver subsystems and product features aligned with strategic objectives
Take ownership of defined subsystems or feature areas, contributing across the full development lifecycle from concept and build through testing and deployment
Ensure solutions adhere to established engineering standards, best practices, and quality guidelines
Participate in code reviews and quality assurance activities to maintain code quality, reliability, and consistency
Contribute to technical documentation and knowledge sharing to support long-term maintainability and onboarding
Build and support backend services in Kotlin to support a web UI and a set of remote gateways
Design APIs and data flows with an emphasis on reliability, security, and clarity
Contribute to pragmatic architectural decisions and help shape backend patterns and standards
Work with healthcare standards and integrations, including DICOM and HL7
Participate in code reviews and quality assurance to maintain code quality, reliability, and consistency
Produce and maintain technical documentation to support maintainability and onboarding
Communicates, cooperates, and consistently functions professionally and harmoniously with all levels of supervision, co-workers, patients, visitors, and vendors
Demonstrates initiative, personal awareness, professionalism, and integrity
Exercises confidentiality in all areas of performance
Practices universal safety precautions
Promotes good public relations on the phone and in person
Adapts and is willing to learn new tasks, methods, and systems
Reports to work regularly as scheduled; consistently punctual with respect to working hours and lunch schedules and maintains satisfactory personal attendance in accordance with RadNet/DeepHealth guidelines
Consistently adheres to the time management policies and procedures
Completes job responsibilities in a quality and timely manner

Our take

The medical technology market is expected to continue its growth due to innovative technological developments, the increasing pace of population ageing, chronic diseases, and trust in medical devices. And advancements in AI and robotic solutions, cloud-based software and healthcare apps, are likely to boost industry growth in the future.

Radiologists agree that AI is necessary to compensate for the increase in medical images they need to assess. Without AI, the demand for scans would outgrow the human ability to review them timely and accurately. Aidence provides an AI solution for lung nodule detection and management, which helps improve lung cancer prognosis by detecting, measuring, classifying and tracking the growth of pulmonary nodules on patients' chest CT scans.

Aidence was acquired by US radiology firm RadNet in 2022. Its future goals include expanding its products to detect larger masses on chest CTs and using the data collected from scans to provide further insights into the effectiveness of lung cancer treatments.

Steph

Company Specialist at Welcome to the Jungle

Company

Funding (last 2 of 3 rounds)

Mar 2020

$2.3m

GRANT

Feb 2019

$11.7m

SERIES A

Total funding: $16.6m

Company HQ

De Weteringschans, Amsterdam, Netherlands

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