Image Analysis Engineer - Ann Arbor, MI

About the role

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.

Responsibilities

• 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.

Requirements

• 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 in developing image processing / 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, ImageJ, CellProfiler).
• 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.

Qualifications

• Identification with our core values: Sustainability, Openness, Enjoyment.

Skills

• Strong analytical and mathematical abilities.
• 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, ImageJ, CellProfiler).
• Proficiency with tools commonly used for developing and implementing image analysis algorithms (e.g., Python, C++, MATLAB, etc.).
• Familiarity with cell microscopy and cell biology (preferred).

Benefits

• 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.
• Retail Savings Plan: 401 k (with generous company match).
• Flexible Spending: HSA, FSA (dependent care & healthcare spending), Transportation Commuter Account.
• Company Paid Benefits: Basic Life Insurance, AD&D, EAP, Family Planning & Women’s Health, Health Advocate.
• Additional/Optional: Supplemental Life Insurance (employee, spouse & dependents), Legal Services, LTD & STD, Critical Illness Insurance, Student Loan Tuition Refinance Service.

Pay

Competitive salary and benefits package.

Schedule

Full-time, Monday through Friday.