Junior Software Engineer, Aidence
Clinical AI
€40-50k
More information about location
AI-powered clinical applications for the lung cancer pathway
Posted today
AI-powered clinical applications for the lung cancer pathway
1-20 employees
Posted today
€40-50k
More information about location
1-20 employees
Company mission
To provide AI that empowers healthcare and pharmaceutical professionals to deliver faster, more precise diagnostics and treatments.
Role
Who you are
- Bachelor's or Master’s Degree in a related field such as computer science, biomedical engineering or similar (required)
- Experience (required)
- 0-2 years of experience in a similar or related relevant role
- Experience working with one or more programming languages, ideally Python, Java JavaScript, TypeScript or similar (required)
- Fluent in English (required)
- Experience working with Agentic Coding tools like Claude and Cursor (required)
- Accustomed to test-driven development and CI/CD practice (preferred)
- Experience working with microservices and distributed systems (preferred)
- Experience in the MedTech field, e.g. working with DICOM data, AI algorithms, clinical workflows (preferred)
- Experience working with docker, Django, React, and/or cloud platforms such as GCP or AWS (preferred)
- Strong analytical mindset
- Not afraid of working inside a strong regulatory framework and disciplined about testing needs
- Ability to make well-reasoned trade-offs between velocity and quality, understanding when to work for higher quality and when to optimize for time-to-market – in collaboration with your team
- You collaborate openly, support your colleagues, and contribute to shared success
- Communicates, cooperates, and consistently functions professionally and harmoniously with all levels of supervision, co-workers, visitors, and vendors
- Demonstrates initiative, personal awareness, professionalism and integrity, and exercises confidentiality in all areas of performance
- Follows all local, regional and country laws concerning employment
- Follows all DeepHealth policies and procedures
- Follows data privacy, compliance, safety and confidentiality standards at all times
- 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, meal and rest breaks, and maintains satisfactory personal attendance in accordance with DeepHealth guidelines
- Completes job responsibilities in a quality and timely manner
- This position often requires sitting, standing, walking, bending, twisting, reaching with hands and arms, using hands and fingers, handling, or feeling, speaking, listening, and high-level cognitive thinking. Also, must be able to lift up to 10 pounds occasionally
What the job involves
- The Junior Software engineer is primarily responsible for building and maintaining software in the Clinical AI domain. From wrapping deep learning models into containerized medical devices, to integration with other systems that will be used as part of our Clinical Solutions
- The focus of the current role is on integration of the results generated by our Clinical AI algorithms with DeepHealth's Reporting and Viewer applications, primarily the Prostate and Lung AI products. This includes front-end modules for our users to interact with the AI results, PDF report generation, but also the backend to ensure smooth integration
- Participate in the software development process: Design, refine and develop new features along with maintaining existing ones. You write code and perform code review of you team members, and you contribute to our testing framework by writing and performing automatic and manual tests. To refine requirements, you work with the team lead and the product manager
- Be responsible for the features and projects you work on throughout the entire development cycle. From refinement to seeing it running in production. We stimulate you to understand the workflow from a radiologist’s point of view, which enables you to flag risks and bugs that you identify while developing the software. You will support the service and delivery team if they or our users encounter issues in production
- Maintain and observe all Quality and Regulatory requirements throughout development and release cycle to ensure continued compliance. We work in a regulated quality management system. You will contribute to technical documentation e.g. by writing implementation specifications of the code you write, follow cybersecurity processes, and contribute to risk analysis
- Collaborate with the rest of the team to make strategic recommendations and improvements to the technology and business
- PLEASE NOTE: This is not an exhaustive list of all duties, responsibilities and requirements of the position described above. Other functions may be assigned and management retains the right to add or change duties at any time
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. Alongside this, 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
$2m
GRANT
Feb 2019
$11.6m
SERIES A
Total funding: $16.2m
Company HQ
De Weteringschans, Amsterdam, Netherlands
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