We're hiring a Software Engineer for a position in Oulu or Vantaa, Finland
3rd of May 2018
Cerenion Oy, the next-generation brain monitoring company, is looking for a software developer to join our R&D team either in Oulu or Vantaa. We offer a relaxed, innovative and friendly working environment with an opportunity to take part in bringing the next generation of brain monitoring software to the intensive care market.
You are a skilled software developer, who has experience from Python programming and some form of professional software development. You may have previous experience from working with medical software, but this is not required. Similarly, experience and/or interest in advanced signal processing, machine learning and artificial intelligence methods will be a plus for us. As part of our seasoned R&D team you will get an excellent opportunity to develop your skills in these areas.
Desirable skills and experience
- A good command of Python programming, incl. NumPy
- Fluency in English (both spoken and written)
- Experience in professional software development
- Working knowledge of at least some version control system
Seen as a benefit
- Work experience on Python programming
- Software industry experience, especially medical software development is highly appreciated
- Reference: a person and/or GitHub contribution or similar
What we offer
- The opportunity to transform healthcare by bringing brain monitoring to intensive care
- A position in a highly motivated team
- A chance to affect your working environment and career path
- A choice between two locations: Oulu and Vantaa/Helsinki
Updated 8.6.2018: The call has closed. Follow us on LinkedIn, or check our website, for news on future open positions.
Cerenion Oy develops the world’s ﬁrst practical method for measuring the brain function of intensive care patients. Our Cerenion C-Trend™ technology (pat. pend.) aims to reveal the status of the brain as one simple score – at the bed-side and without requiring any changes to the care of the patient.
The solution works by combining standard EEG-measurement with advanced machine learning algorithms and artificial intelligence.
The technology has the potential of improving both the quality and the cost of intensive care.