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FLEX Student Assistant – Medical Data Annotation
- 1 jaar met uitzicht op verlenging
- FLEXwerk
- Medisch technisch
- €2.677 - €3.678
- 0 - 36 uur
- Sluit op24-03-2026
Jouw functie
Prostate cancer (PCa) is the 2nd most common cancer in men and the most common one in Dutch men. One million men receive a diagnosis and 300.000 die from clinically significant PCa (csPCa) (defined as ISUP≥2 cancer) each year, worldwide. Modern artificial intelligence (AI) algorithms have paved the way for powerful computer-aided detection and diagnosis (CAD) systems that rival human performance in medical image analysis. Throughout the years, the prostate MRI dataset at Radboudumc has grown from a small in-house dataset to a large multi-center dataset. This collection is still enriching with more data becoming available and new collaborations with partner institutions.
You will be working towards building the best AI solutions in clinically significant prostate cancer detection in a well-established international team at the Department of Medical Imaging. The students will be trained and supervised by researchers and radiologists on a large set of MRI data, and patient reports from various sources and their associated research projects. Additionally, we offer quite some flexibility regarding your working schedule and location. The students will learn a lot about urological malignancies and medical imaging (MRI scans).
Tasks and responsibilities:
- Extract patient data from pathology and radiology reports.
- Annotate patient-level medical data in our marksheets based on pathology and radiology reports.
- Annotate medical images at lesion-level based on pathology reports.
- Help review and improve the AI performance for future patients.
Jouw werkplek
The Diagnostic Image Analysis Group was founded in January 2010. The Diagnostic Image Analysis Group is part of the Departments of Imaging, Pathology, Radiation Oncology, Cardiology, and Neurology of Radboud University Medical Center. Imaging is a cornerstone of modern medicine. The amount of imaging that is performed is growing, the number of modalities is growing, and the resolution and dimensionality of the scans is increasing. Our research focuses on creating software to let computers help physicians in the image interpretation process.
We have research lines in radiology that focus on chest imaging with CT and x-ray, on pelvic imaging with MRI, and on musculoskeletal imaging, in pathology that address current diagnostic processes and the development of new image-based biomarkers that predict patient outcome and therapy response. DIAG has a research line on pelvic image analysis, led by Henkjan Huisman. Prostate cancer is an important topic in this group, with projects on automated detection of prostate cancer with MRI and deep learning, and real-time decision support during interventions for biopsy and treatment. Other projects focus on pancreatic cancer and the detection of adhesions. We develop computer algorithms to interpret and process medical images. You will be embedded in a highly collaborative and multidisciplinary group.
Jouw profiel
- You are a 3rd‑year Bachelor or 1st‑year Master student in Medicine or (Bio)medical Sciences.
- You are available for one year with the possibility of extension on a flexible 0-hour basis.
- You are eager to learn, motivated, and enthusiastic about contributing to research within Radiology and Medical Imaging.
- You are responsible, proactive, communicative, and comfortable working both independently and within a research team.
- No prior experience is required; you are open to being trained and supervised in handling MRI datasets, patient reports, and research workflows.
Goed om te weten
- Bij deze opdracht treed je in dienst bij het FLEXbureau, onderdeel van het Radboudumc. Je krijgt doorgaans bij ons een nul-urencontract. Je hebt recht op een compensatietoeslag van 12% ter verrekening van het recht op vakantie, feest- en verlofdagen. Deze toeslagen komen boven op je bruto uurloon en worden maandelijks aan je uitgekeerd.
- Voor deze functie is een Verklaring Omtrent het Gedrag (VOG) vereist.