The Precision Health Informatics Data Lab, led by Professor Richard Dobson, is motivated towards enabling a “panoramic” view of patients that is precise, predictive, preventative and participatory, through the integration of traditional ‘omics data with data derived from mHealth, electronic patient records, knowledge graphs. The group works closely alongside the National Institute for Health Research Maudsley Biomedical Research Centre (NIHR Maudsley BRC) supporting their translational research into novel tests, treatments and technologies to understand and treat mental disorders. About the role:Our RADAR-Base platform is pioneering the future for mHealth technology in remote monitoring and management of health data. The RADAR-base platform is used in numerous research fields, spanning over 20 disorder areas in 54 studies. The Data Scientist will play a pivotal role in expanding the utility of the RADAR-base platform, and by doing so, will impact the pace and quality of mobile health research globally. The insights gained from the data analysis will directly influence health research and leading to more personalised and timely interventions for individuals in a wide variety of disease areas. Your work will contribute to a more open, accessible and equitable environment for data-driven health research. This is a full-time post, and you will be offered a fixed term contract until 31/07/2027. | |||
About you:To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria:
Desirable criteria:
Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the next page after you click “Apply Now”. This document will provide information of what criteria will be assessed at each stage of the recruitment process. Further information:We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible. |