Director of R&D

• Lead, scale, and support a high-performing tech team across software, ML, and infrastructure
• Mentor senior engineers and team leads, define growth paths, and establish fair, motivating compensation frameworks
• Foster a culture of ownership, learning, and collaboration across the technical organization
• Ensure smooth cross-functional collaboration with product, regulatory, support and commercial teams
• Support recruitment in collaboration with HR and help position the company as a top tech employer
• Define and communicate the company’s technical vision in collaboration with the CEO and Director of Product
• Own and evolve the technology roadmap, balancing innovation, scalability, and technical debt
• Set and manage clear goals (e.g., OKRs) to guide engineering and ML efforts effectively
• Keep up with trends in ML, software, and healthcare IT to inform long-term strategy
• Represent technical direction and milestones to external stakeholders (e.g., partners, investors)
• Oversee implementation of tools, workflows, and best practices for software and ML development
• Ensure software quality, security, and compliance with regulatory requirements (e.g., MDR, FDA)
• Ensure efficient development cycles, high software quality, and minimized technical debt and security risks
• Manage selected external collaborations and workflow integrations in the clinical ecosystem

• 3+ years of experience applying machine learning to imaging data, with a strong software development background
• 2+ years of leadership experience in building and managing technical teams in a fast-paced or growth-stage environment
• Proven track record of delivering high-quality, production-ready ML/AI products
• Proficiency in agile workflows and managing projects with measurable outcomes
• Strong communication skills, including moderation, conflict resolution, and cross-functional collaboration
• Strategic thinking,resilience under pressure and being able to focus teams on what matters
• Scientific mindset and experience with research evaluation or publication in AI/ML

• PhD or advanced degree in machine learning, computer science, or a related field
• Hands-on experience with Python and cloud infrastructure
• Familiarity with radiology workflows, medical imaging (e.g., DICOM), or healthcare IT standards
• Experience with regulatory frameworks (MDR, FDA) and quality systems (e.g., ISO 13485)
• Experience mentoring engineers and supporting career growth across different levels
• Experience with large language models (LLMs), including fine-tuning or integration into products, is a strong plus

Use your personal benefits budget flexibly and choose the perks that suit you best