You will develop and evaluate predictive models using anonymized patient data to support healthcare decision-making. This involves the entire project lifecycle from data preparation and feature engineering to model validation and the communication of results.
You will support the end-to-end patient validation process for digital health applications by conducting interviews, surveys, and usability testing. Additionally, you will analyze results to provide actionable recommendations for product development and contribute to study planning.
