QA Test Engineer

Reposted 20 Days Ago
Be an Early Applicant
Nijmegen
In-Office
Junior
Artificial Intelligence • Healthtech
The Role
As a QA Test Engineer, you will design and execute validation tests for medical software, including automated testing and collaboration with experts in various fields.
Summary Generated by Built In

In the fight against breast cancer, every medical image is an opportunity: to unlock insight, to uncover risk, to embody health, to empower life. ScreenPoint’s Transpara Breast AI delivers unmatched precision for breast radiologists and helps define personalized care pathways for every woman we serve. Make your mark as part of The Breast AI Company.

We are looking for a motivated and energetic QA Test Engineer to implement and run the validation tests of our medical software devices. You’ll be part of a highly motivated and collaborative group of experts in breast imaging, artificial intelligence, algorithm development and clinical research who work closely together in an informal atmosphere.

In this position, you will contribute to further optimize and improve our testing activities to help us bring our latest developed technology to clinical practice. This includes a lot of creative thinking and hands-on work: 

  • Interaction with all the relevant stakeholders, including experts on clinical, quality, AI and software engineers, to define the required tests and testing strategies.
  • Review requirements, specifications and technical design documents to provide timely and meaningful feedback
  • Be the first with hands-on experience into our latest developments by executing both manual and automated tests.
  • Further design and implementation of the automated test pipeline and environment.

Job requirements

You are self-motivated with a high level of energy, enthusiasm and initiative. You have a problem solving attitude and are very eager to develop new skills and knowledge. Furthermore, you have:

  • Bachelor’s degree in Computer Science, Engineering or equivalent.
  • Experience in writing clear, concise test plans and test cases.
  • Solid knowledge on Python and scripting.
  • Self-motivated with a high level of energy with an eagerness to grow within a scaling up organization.
  • Capable of working in a Linux environment.
  • Excellent all round communication skills in English.

Preferred qualifications

  • Hands-on experience with automated testing tools.
  • Experience with virtual machines and Docker containers.
  • Experience working with medical devices following standards ISO 13485 and ISO 14971.
  • Experience working in an Agile/Scrum development process.

About us

ScreenPoint Medical is a leading company that develops and markets breast image analysis and cutting edge machine learning applications and services. Our product Transpara improves breast cancer survival rates by detecting cancers earlier so that treatment can be more effective and less invasive.

Do you want to help us build an innovative solution to improve health worldwide? And do you want to be part of an ambitious and fast-growing team who help you develop your career further? Please apply using the application button.

Providing a Certificate of Conduct (VOG) or background check is part of our application procedure. Questions about the contents of the vacancy or the recruitment process at ScreenPoint Medical? Please send an email to [email protected]

Top Skills

Docker
Linux
Python
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The Company
HQ: Nijmegen
66 Employees
Year Founded: 2014

What We Do

ScreenPoint helps radiologists detect breast cancer confidently and faster. We develop and market image analysis and machine learning applications and services to improve early detection of breast cancer. Our flagship product - Transpara - has been evaluated in over 35+ peer-reviewed publications and has demonstrated consistent results, regardless of patient age, breast density, or ethnicity. Transpara uses the latest developments in machine learning such as Deep Learning and is trained with very large well curated databases of screening mammograms. Research and development at ScreenPoint is aimed at improving performance to the level of expert radiologists and beyond.

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