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Junior Software Engineer, Clinical AI

DeepHealth Rotterdam, Holandia
Pełny etat Praca stacjonarna

Data publikacji: 01.09.2026

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.

Requirements

Essential Duties and Responsibilities; 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.; Minimum Qualifications, Education and Experience; 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); What we value; 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.; Quality Standards; 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.
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