Job positions we offer, have offered or foresee.

Job postings

Full Stack Developer (junior)

Full stack developers are assumed to have sufficient knowledge to develop a modern (web) application from start to finish. This includes the ability to design, develop and deploy the front-end of a web application as well as the back-end application. In addition, full-stack developers are expected to perform devops tasks to ensure automated and consistent development, testing and deployment of the application.

Full stack-developers are expected to have a wider set of knowledge that is less specialized than front-end developers, back-end developers or devops. 

General capabilities expected from full stack developers are the ability to troubleshoot/debug issues, communication of issues/status to stakeholders, and potentially the availability to resolve issues outside of working hours.


Non-exhaustive list of Full-stack developer capabilities:

    • knowledge of the following programming languages for web applications:
      • HTML, JavaScript, CSS
    • Knowledge of a front-end framework is usually a prerequisite, e.g.
      • js
      • Angular
      • Ruby on rails
      • JQuery
      • React
    • Knowledge of a programming language suitable for back-end development, e.g.
      • C#
      • NodeJS
      • Python
      • Java
    • Knowledge of cloud web services, such as:
      • Amazon AWS
      • Microsoft web services
      • Alternatively, knowledge on how to design, implement and maintain web server(s), e.g.
        • IIS
        • Apache
        • Nginx
        • GWS
      • Knowledge on designing, implementing and maintaining database(s), e.g.
        • MySQL
        • Microsoft database
        • SQLite
        • Web database services, such as
          • DynamoDB
          • Oracle cloud database
          • Microsoft Azure Databases

Data Science Engineer (junior)

Automated Motor Movement Analysis

Develop from prototype to clinical trial testing and validation version

  • Motion pattern recognition and visualisation
  • Motion pattern correlation with MRI and EEG
  • Fidgety recognition and visualisation

Algorythm development in adjacent clinical conditions for neonatal intensive care

Scepsis, Seizure, Stress, Seizures, Apnea.

Report analysis of the call-data record

From the raw logging ‘call data records’ to generating customer specific reports that provide insights how and how often the S2S services are used in terms of operational usage and in terms of contributing to clinically relevant indicators like ‘parent participation’

  • the database queries to the call-data records are available
  • analysis required to bundle those records together that belong to a single call
  • analysis required to extract call characteristics from this bundle
  • some lay out work towards the report