AI & Medical Data Science Internship

SyncVR Medical is the leading Extended Reality (XR) platform in European healthcare, active in 200+ hospitals across 7 countries. We are selected by a big hospital chain to build a prediction model on actual medical data. This role is a unique opportunity to build a life-saving AI engine using the world’s most valuable clinical datasets.

Every year, thousands of patients receive unnecessary pharmaceutical sedation for minor procedures, leading to high costs and long recovery times. You will help us build a Predictive Risk Engine that identifies which patients are candidates for "Immersive Care" (XR distraction) instead of drugs (see this video).

• Mine Unstructured Data: Use NLP (ClinicalBERT / BioBERT) to extract anxiety markers and procedural indicators from thousands of anonymized clinical notes.
• Feature Engineering: Clean and join complex longitudinal datasets including medication dosages (Infusion tables), vitals (Flowsheets), and recovery timestamps.
• Build the Model: Develop and validate an XGBoost classification model to output an "XR Suitability Score" with a target AUC-ROC of >0.75.

• Education: Final year Master’s student or PhD candidate in Data Science, AI, Medical Informatics, or Applied Math.
• Python Mastery: Expert-level knowledge of the Python data stack (Pandas, Scikit-learn, XGBoost).
• NLP Experience: Hands-on experience with the HuggingFace library and transformer models.
• SQL Skills: Ability to navigate and join massive relational databases (BigQuery/SQL Server).Mindset: You are a "builder" who is comfortable with the ambiguity of clinical data and the fast pace of a scale-up environment.