Senior Software Engineer

6 days ago Be among the first 25 applicants

Our client is a venture-backed, fast-growing deep tech startup operating in the medical imaging space. Their mission is to reshape how clinicians interact with imaging data by developing intelligent, cloud-based AI solutions that support planning and decision making in critical interventions. Recently, their flagship AI platform received FDA 510(k) clearance and CE marking, and they are now scaling both our product and team. With an emphasis on scientific rigor, patient outcomes, and strong clinical partnerships, they offer the opportunity to work on challenging, high-impact problems in real-world healthcare.

The role

As a Senior Software Engineer in Deep Learning & Imaging, you will play a key role in designing, developing, and deploying production-grade AI models and quantitative imaging pipelines. You’ll collaborate with a multi-disciplinary team of software engineers, clinicians, product experts, and regulatory specialists to deliver clinically meaningful functionality at scale. This is a full-time and permanent role, with hybrid working.

Key responsibilities

• Lead the design, implementation, and optimisation of deep learning models for image segmentation and analysis, particularly within the 3D medical imaging domain.
• Build and refine quantitative imaging pipelines that derive clinically relevant metrics (e.g., organ volumes, anatomical geometry) from segmented data.
• Manage the full model lifecycle, including data preparation, model training, validation, deployment, and monitoring.
• Contribute to software architecture decisions, code reviews, and testing strategies in line with medical device standards.
• Engage closely with clinical experts to define requirements and ensure medical validity of technical solutions.
• Document software and algorithm designs, performance metrics, and processes to meet regulatory and quality standards.
• Participate in continuous improvement of development practices, infrastructure, and team workflows.

Required experience and qualifications

• Strong academic background in Computer Science, Applied Mathematics, Physics, Engineering, or a related field.
• Proficient in Python and modern deep learning frameworks (e.g., PyTorch, TensorFlow).
• Demonstrated experience developing, training, and deploying image-based deep learning models in a production environment.
• Deep understanding of applied mathematics, including geometry, statistics, and linear algebra.
• Experience working with volumetric data or 3D imaging modalities.
• Strong communication skills, with the ability to explain complex ideas to non technical stakeholders.
• High level of autonomy, structured problem-solving ability, and attention to detail.
• Fluent in written and spoken English.

Preferred skills

• Expertise in 3D medical imaging, particularly CT scans.
• Experience with modern architectures such as vision transformers or promptable segmentation.
• Familiarity with DICOM standards and data handling.
• Background in regulatory environments (e.g., MDR, FDA, IEC 62304, GDPR).
• Experience with computer graphics, geometry processing, or rendering libraries.

Your consultant

As a Senior Recruitment Consultant at Aspire Life Sciences, Julien Funes\‘ expertise lies at the nexus of technology and life sciences. He recruits top Machine Learning and data talent for Biotech and life sciences startups across Europe and North America. He is committed to advancing the industry by sourcing and securing top-tier talent for roles in these critical sectors. His approach enables him to effectively match candidates with opportunities where technological innovation meets life science excellence.

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Software Development, IT Services and IT Consulting, and IT System Custom Software Development

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