VP of Engineering

Posted 2 Days Ago
Be an Early Applicant
Nijmegen
In-Office
Senior level
Artificial Intelligence • Healthtech
The Role
Lead engineering and infrastructure teams; define technology strategy; ensure delivery of AI solutions in clinical environments; foster a culture of learning.
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’re looking for a VP of Engineering to lead our Engineering, Infrastructure, and Product Security functions. This is a high-impact leadership role reporting to our CPTO, responsible for shaping and executing the engineering strategy, and enabling the organization to deliver on our ambitious roadmap.

Your responsibilities

  • Lead our Engineering and Infrastructure teams, aligning them around a shared vision, clear priorities, and defining scalable processes and collaboration models that drive focus and execution across the organization. 
  • Scale our platform for the future, defining a long-term technology strategy that supports company growth and innovation in AI and medical imaging.
  • Raise the technical bar by overseeing architecture, quality, and operations to deliver a high-performance, secure, and reliable platform.
  • Partner with Product, AI Research & Innovation, and Commercial teams to align engineering execution with business strategy and deliver measurable outcomes.
  • Collaborate with AI research and data leaders to ensure our infrastructure, data pipelines, and product integrations support experimentation and safe deployment of AI solutions in clinical environments.
  • Hire, coach, and empower engineers and engineering managers, fostering a culture of ownership, trust, and continuous learning.

Job requirements

You are self-motivated, organized, efficient and able to operate with autonomy and clarity. You possess excellent English communication skills, strong analytical thinking skills and comfort navigating ambiguity. Furthermore, you bring:

  • 2+ years at Director, Head or VP level leading multiple engineering teams.
  • A proven track record of driving organizational transformation (i.e. tech migrations, org structure, processes)
  • Deep knowledge of modern software development practices using C++ and Python.
  • Experience building and operating cloud-based B2B SaaS platforms.
  • Proficiency with Linux environments, virtual machines, and Docker.
  • Familiarity with healthcare software engineering standards and regulatory expectations

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

C++
Cloud-Based B2B Saas
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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