Image Analysis Data Scientist - Ann Arbor, MI

SartoriusAnn Arbor, MI
Onsite

About The Position

Sartorius has an onsite position available for an Image Analysis Data Scientist in our Ann Arbor, MI site. In this role, you will 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 AI models and image analysis algorithms that power products delivering reliable, quantitative measurements from images of biological systems.

Requirements

  • Ph.D. degree in Data Science, Computer Science, Computer Engineering, Biomedical Engineering, Applied Mathematics, or related field and 2+ years of experience developing image processing / computer vision algorithms and machine learning solutions.
  • Or Master’s degree in one of the above fields and 5+ years of experience in developing image processing / computer vision algorithms and machine learning solutions.
  • 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).
  • Proficiency with Python for data and ML (NumPy, pandas, SciPy, scikit-learn) and deep learning frameworks (PyTorch and/or TensorFlow).
  • 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).
  • 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

Nice To Haves

  • Familiarity with cell microscopy and cell biology (preferred).

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, 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 model 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.

Benefits

  • Mentoring
  • leadership programs
  • internal seminar offerings
  • Paid vacation
  • sick time
  • corporate holidays
  • community service day
  • flexible work schedules
  • Comprehensive onboarding, including a virtual online platform
  • Mutual support, team spirit and international collaboration
  • communities on numerous topics such as “Coaching”, “Agile Working” and a “Businesswomen’s Network”
  • Wide selection of health and well-being support such as a variety of medical plans to choose from
  • dental
  • vision
  • EAP
  • other wellness programs
  • Working in smart buildings with the latest technology and equipment.
  • 401 k (with generous company match)
  • HSA
  • FSA (dependent care & healthcare spending)
  • Transportation Commuter Account
  • Basic Life Insurance
  • AD&D
  • EAP
  • Family Planning & Women’s Health
  • Health Advocate
  • Supplemental Life Insurance (employee, spouse & dependents)
  • Legal Services
  • LTD & STD
  • Critical Illness Insurance
  • Student Loan Tuition Refinance Service

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

Ph.D. or professional degree

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