Research Assistant in Machine Learning for Medicine

We are recruiting a Research Assistant position to support research aimed at identifying earlier and more accessible biomarkers for Parkinson's disease, including digital biomarkers. The position is funded by UKRI and will be supported by a Global Talent Visa. The ideal candidate should have a relevant MSc in Neuroscience, Computer Science, Mathematics, or related disciplines with a focus on machine learning, deep learning, or data science. The postholder will become a member of the research group in the Department of Brain Sciences, working with , , and . The research will focus on analyzing wearable data collected from deeply phenotyped cohorts of patients affected by Parkinson’s disease (PPMI), various biobanks (UK Biobank, All of Us), and different clinical cohorts from collaborators. 

We are looking for a creative and enthusiastic researcher who can take on a challenging role with considerable scope for independent scientific achievement and personal growth. The successful candidates will play a central role in developing the neuroscience and machine learning work within the Department of Brain Sciences. 

The post will suit a highly motivated candidate who is interested in the development and application of computational approaches to identify earlier digital biomarkers in Parkinson's disease. The applicant will collaborate with various research groups within the Dementia Research Institute and Imperial's Department of Brain Sciences. Candidates will be supported in their career development. This post aims to derive early biomarkers from data collected using wearable devices. We will analyze wearable data collected from deeply phenotyped cohorts of patients affected by Parkinson’s disease (PPMI), various biobanks (UK Biobank, All of Us), and different clinical cohorts from collaborators.