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AI & Medical Data Science Internship
SyncVR MedicalAI & Medical Data Science Internship developing a Predictive Risk Engine for SyncVR Medical, enhancing patient care with advanced AI models using clinical data.
Tech Stack
Tools & technologiesBigQueryPandasPythonScikit-LearnSQL
About the role
Key responsibilities & impact- 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.
Requirements
What you’ll need- Final year Master’s student or PhD candidate in Data Science, AI, Medical Informatics, or Applied Math.
- Expert-level knowledge of the Python data stack (Pandas, Scikit-learn, XGBoost).
- Hands-on experience with the HuggingFace library and transformer models.
- Ability to navigate and join massive relational databases (BigQuery/SQL Server).
- You are a "builder" who is comfortable with the ambiguity of clinical data and the fast pace of a scale-up environment.
Benefits
Comp & perks- Direct involvement in a global hospital validation project (a massive career booster).
- Your code will directly influence how one of the world's top hospitals delivers care.
- Direct contact with our CEO. (NB: no other data scientist though - show independence!).
- High potential for either a permanent role or a position at a similar company following a successful internship!
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
NLPClinicalBERTBioBERTXGBoostPythonPandasScikit-learnHuggingFaceBigQuerySQL Server
Soft Skills
buildercomfortable with ambiguityfast-paced environment
Certifications
Master’s degreePhD