Research Associate (Computer Vision) (m/f/d) Department of Medicine I

Research Associate (Computer Vision) (m/f/d)
Department of Medicine I

Anticipated Start Date: 01.03.2026
Application End Date: 09.01.2026
Temporary Employment: 12 months
Working Hours: Full and Part Time
Requisition ID: 1654

The University Hospital Carl Gustav Carus and the Faculty of Medicine together form University Medicine Dresden. It is committed to excellence in high-performance medicine, medical research, and teaching as well as healthcare services for patients in the entire region.
Together for the cutting-edge medicine of tomorrow - become part of University Medicine Dresden.

Position Overview
The position is available from March 1, 2026, in full-time or part-time employment and is limited until February 28, 2027. The salary is based on the German public sector pay scale (TV-L); classification in pay grade E13 is possible if the personal requirements are met.
Make an impact on cancer diagnosis and therapy using artificial intelligence! Our research group Artificial Intelligence in Hematology is seeking a Research Associate. We are an interdisciplinary team of physicians, biologists, and computer scientists dedicated to improving cancer care through data science and artificial intelligence.

Your Responsibilities – Where Your Expertise Matters:

• Development of computer-vision pipelines for the diagnosis of blood cancers using microscopic images, detection of digital biomarkers, prognostic modeling, and therapy selection
• Optimization of existing pipelines for training and deploying classification, object detection, and segmentation models
• Improving model robustness to varying imaging conditions (different microscopes/slide scanners, staining variations, illumination differences)
• Monitoring state-of-the-art developments and applying them to improve existing projects as well as conceptualizing new ones
• Implementation of data-centered design principles to optimize data processing and analysis
• Maintenance of repository systems for code, data, and artifact management

Your Profile – What Makes You a Great Fit:

• University degree and demonstrated expertise in areas such as computer science, computer vision, machine learning, mathematical image processing, bioinformatics, or similar
• Strong understanding of software development in the context of machine learning and computer vision (MLOps)
• Practical skills in object-oriented programming with Python and in the AI software development lifecycle (DevOps, MLOps, GitOps, testing), including containerization (Docker), version control (Git), and high-performance computing (HPC)
• Experience with agile software development methods
• Enjoy working in a team and able to coordinate and implement tasks independently and in a goal-oriented manner
• Strong programming skills in modern deep-learning frameworks (PyTorch preferred, TensorFlow) and common scientific computing libraries (e.g. NumPy, Pandas, Scikit-learn, OpenCV)
• Our lab operates in English (fluency required); German skills are not mandatory, but beneficial
• Desirable: PhD/Postdoc experience; academic background with publications in peer-reviewed journals/conferences (machine learning, image processing, medical image processing, medical informatics); experience in writing grant applications and in project management (scheduling, resource planning)

Our Offer – What Sets Us Apart:

• Goal-oriented, low-bureaucracy work in small, focused teams
• Work in an innovative environment developing software that improves patient outcomes
• Opportunity to take ownership of and shape your own projects
• Professional supervision and mentoring in an academic setting
• Compensation: according to TV-L, plus annual special payment, depending on personal qualifications
• Vacation: 30 days of paid annual leave
• Training & Development: Extensive internal and external training opportunities to continuously strengthen your skills
• Company Culture: We value transparency, team spirit, and shared success. Join us for team events and activities such as the REWE Team Challenge
• Mobility: Job bike program and subsidy for the job ticket to support environmentally friendly commuting
• Health: Access to modern sports and fitness programs at our health center, mental health programs, and comprehensive occupational health management
• Employee Benefits: Discounts at our hospital pharmacy, exclusive corporate benefits, and additional shopping discounts
• Work-Life Balance: Our family office supports you with childcare options, vacation programs, and care for relatives. We also offer flexible working models.