About the company

Scopio Labs is a rapidly growing medical technology company revolutionizing hematology and cell morphology analysis. Our mission is to facilitate quicker, earlier detection and diagnosis of

blood-related diseases, ultimately leading to improved patient outcomes. At Scopio Labs, every team member plays a crucial role in our life-saving mission.

About our technology

Scopio has developed a groundbreaking digital imaging platform utilizing innovative computational photography and clinical-grade AI. This platform automatically analyzes blood and bone marrow samples at the highest resolution available and delivers results within minutes.

About the role

The Scopio imaging algorithms team is at the forefront of developing advanced imaging solutions that enable rapid, high-quality slide digitization at 100x. . We’re looking for a dynamic and experienced team leader to guide our talented researchers through the next phase of innovation.

What you’ll be doing

• Gaining a deep understanding of the current imaging solution, identifying both strengths and areas for improvement
• Overseeing the enhancement, stabilization, and fine-tuning of existing imaging technologies
• Leading the research toward the next-generation imaging solutions
• Managing proof-of-concept projects and aligning team efforts with company goals
• Defining rigorous testing and evaluation protocols to optimize system performance
• Collaborating closely with cross-functional teams, including computer vision, software, and data

Qualifications include:

• 5+ years of industry experience, including at least two years in a leadership role
• MSc or PhD in physics, electrical engineering, or a related field (optics experience is a plus)
• Strong innovative thinking and problem-solving skills, particularly in the field of imaging
• Proven ability to lead expert teams in solving complex challenges and delivering cutting-edge solutions
• Experience managing projects from requirements gathering through production integration
• Expertise in image reconstruction, inverse problems and optimization, Fourier optics, and neural networks is highly advantageous