Biomedical AI Scientist: Multi-Modal Biomarker Discovery

University of Essex, in partnership with Hurdle, seeks a Biomedical and Health AI Scientist (KTP Associate) to develop an AI-enabled biomarker discovery engine using multi-modal data for precision medicine. You will work with biomedical signals, medical images and text, integrating new data types like EHRs and wearables to advance predictive models.

You will deploy state-of-the-art AI/ML techniques in healthcare, preprocess and analyze complex datasets, and contribute to academic publications

#J-18808-Ljbffr