Image Analysis Engineer - Ann Arbor, MI

Sartorius has an onsite position available in our Ann Arbor, MI site. We are seeking an Image Analysis Engineer to develop cutting‑edge technology for producing and analyzing image data in the pharmaceutical and biotech industries. You will focus on extracting quantitative, biologically meaningful information from images using advanced computer vision and machine learning techniques. Working closely with subject matter experts and a multi‑disciplinary Product Development team, you will design and implement image analysis algorithms and AI models that power products delivering reliable, quantitative measurements from images of biological systems.

• Develop and implement image analysis and computer vision algorithms with a focus on robustness, scalability, and product integration.
• Design, train, and validate machine learning and deep learning models for image‑based tasks (e.g., classification, segmentation, detection, tracking, quality assessment).
• Define and refine requirements for image processing and image‑based analytics, including performance metrics and validation criteria.
• Write clear, maintainable, high‑quality code for image processing and model training and inference, optimized for large image datasets.
• Collaborate with software engineers to integrate algorithms and AI models into user‑friendly, production‑grade software products.
• Work with product development, product management, and research teams to generate biological insight from image data.
• Support technical support, application specialists, and R&D teams in understanding image analysis algorithms behavior, limitations, and appropriate use.
• Mentor and support junior team members in best practices for image analysis, machine learning, and software engineering.
• Lead design and development of image analysis algorithms and AI models within product development projects.
• Stay current with advances in computer vision, bioimage analysis, and AI model architectures for imaging, and apply them to real‑world problems.

• Ph.D. degree in Computer Science, Computer Engineering, Biomedical Engineering, Data science, Applied Mathematics, or related field and 2+ years of experience developing image processing and computer vision algorithms.
• Or Master’s degree in one of the above fields and 5+ years of experience developing image processing or computer vision algorithms.
• Strong analytical and mathematical abilities.
• Solid foundation in classical image processing (denoising, enhancement, feature extraction, segmentation).
• Experience with classical ML on image‑derived features (e.g., random forests, gradient boosting, SVMs) and deep learning for images (e.g., CNNs, autoencoders, vision transformers).
• Experience with image analysis tools (e.g., OpenCV, scikit‑image, Image
  
  J, Cell Profiler).
• Proficiency with tools commonly used for developing and implementing image analysis algorithms (e.g., Python, C++, MATLAB, etc.).
• Strong software engineering practices (version control, code review, testing, documentation).
• Familiarity with cell microscopy and cell biology (preferred).
• Strong communication skills and ability to work effectively in a multi‑disciplinary team.
• Strong personal initiative and a results‑oriented mindset, with attention to reproducibility and quality.
• Identification with our core values:
  Sustainability, Openness, Enjoyment.

• Personal and Professional Development: Mentoring, leadership programs, internal seminar offerings.
• Worklife Balance: Paid vacation, sick time, corporate holidays and community service day; as well as flexible work schedules.
• Making an Impact Right from the Start: Comprehensive onboarding, including a virtual online platform.
• Welcoming Culture: Mutual support, team spirit and international collaboration; communities on numerous topics such as “Coaching”, “Agile Working” and a “Businesswomen's Network”.
• Health & Well Being: Wide selection of health and well‑being support such as a variety of medical plans to choose from, dental, vision, EAP, and other wellness programs.
• Intelligent Working Environment: Working in smart buildings with the latest technology and equipment.
• Reti…