Study Assistant (m/f/d) in the field of oncological studies
Study Assistant (m/f/d)
in the field of oncological studies
The position is available as soon as possible, full-time or part-time, initially limited to 12 months. Compensation is based on the collective agreement for the public service (TV-L). Depending on qualifications, classification into pay grade E9a is possible.
Shape the future of cancer diagnostics and therapy with artificial intelligence!
We are looking for a Study Assistant (m/f/d) with a focus on Computer Vision to support our team in the research group Artificial Intelligence in Hematology (www.ai-in-cancer.org). We are an interdisciplinary team of physicians, biologists, and computer scientists, working together to improve cancer care through data science and artificial intelligence.
Your Responsibilities – Where your skills matter:
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Development of computer vision pipelines for diagnosing blood cancers from microscopic images, detecting digital biomarkers, prognostication, and therapy selection
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Optimization of existing pipelines for training and deploying classification, object detection, and segmentation models
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Improving model generalizability across different imaging conditions (microscopes/slide scanners, staining and exposure variations)
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Monitoring state-of-the-art developments and applying them to enhance existing projects as well as conceptualizing and planning new ones
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Implementing data-centered design principles to optimize data processing and analysis
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Maintenance of repository systems for code, data, and artifact management
Your Profile – What makes you a great fit:
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Completed university degree and proven expertise in fields such as computer science, computer vision, machine learning, mathematical image processing, bioinformatics, or comparable areas
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Very good understanding of software development for machine learning and computer vision (MLOps)
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Practical experience with object-oriented Python programming and the AI software development cycle (DevOps, MLOps, GitOps, testing), including container technologies (Docker), version control (Git), and high-performance computing (HPC)
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Experience with agile software development methods
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Strong teamwork skills and the ability to independently coordinate and implement tasks in a goal-oriented manner
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Solid programming skills in modern deep learning frameworks (PyTorch preferred, TensorFlow) and common scientific computing libraries (e.g. NumPy, pandas, scikit-learn, OpenCV)
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English is the working language in our lab (fluency required). German skills are an advantage but not mandatory.
Desirable: PhD or postdoctoral experience; experience in an academic environment (publications, scientific work, grant writing); or experience in project management (time and resource planning)
Our Offer – Why you will love working with us:
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Structured and individualized onboarding tailored to your needs and accompanied by a dedicated mentor
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A great, supportive, and multidisciplinary team in which you can help shape the strategic development of the department
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A respectful, appreciative, and open team culture lived throughout the entire clinic
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Excellent internal development opportunities and proactive support from your supervisors
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Compensation according to the house collective agreement plus annual bonus and occupational pension scheme
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30 days of vacation
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Career & development: Extensive internal and external training opportunities (e.g. via our Carus Academy)
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Work–life balance: Our family office supports you in all life situations, including childcare near the clinic, holiday programs, and eldercare assistance
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Health & wellbeing: Comprehensive sports and exercise programs in our state-of-the-art fitness studio, as well as mental health support and workplace health programs
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Employee benefits: Discounts at our hospital pharmacy, corporate benefits, and additional shopping platforms
Your contact in the HR Directorate

Elena Koch
Tel: 0351-458- 2594