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Research Assistant: Medical Data Science (2 posts)
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comment: The University of Oxford is a stimulating work environment, which enjoys an international reputation as a world-class centre of excellence. Our research plays a key role in tackling many global challenges, from reducing our carbon emissions to developing vaccines during a pandemic. The Department of Psychiatry is based on the Warneford Hospital site in Oxford – a friendly, welcoming place of work with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute for Health Research (NIHR) and provides highly rated medical training in psychiatry. The Head of Department is Professor Belinda Lennox. We are looking to appoint two research assistants in medical data science to work on a research programme seeking to better predict and treat episodes of severe mental illness, using a novel data science approach based on measurements of symptom instability. **What We Offer** As an employer, we genuinely care about our employees’ wellbeing and this is reflected in the range of benefits that we offer including: • An excellent contributory pension scheme • 38 days annual leave • A comprehensive range of childcare services • Family leave schemes • Cycle loan scheme • Discounted bus travel and Season Ticket travel loans • Membership to a variety of social and sports clubs This role also offers the opportunity for hybrid working (up to 1 day/week). **About the Role** The post is funded to 30 April 2030 and is based in the Department of Psychiatry at the Warneford Hospital. You will be given access to large datasets spanning millions of patients with mental illness and will work on a range of project including the development of novel prediction tools, the investigation of determinants of symptom instability, and the creation of data-driven personalised treatment approaches. You will write computer code for analysis of large datasets, and collaborate in…
further particulars: RESEARCH ASSISTANT MEDICAL DATA SCIENCE 178017
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notation: 178017
based near: Neurosciences, Warneford
salary: Research Grade 6: £34,982-£36,616 per annum
application closing date: 2025-03-03T12:00:00+00:00
comment: The University of Oxford is a stimulating work environment, which enjoys an international reputation as a world-class centre of excellence. Our research plays a key role in tackling many global challenges, from reducing our carbon emissions to developing vaccines during a pandemic. The Department of Psychiatry is based on the Warneford Hospital site in Oxford – a friendly, welcoming place of work with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute for Health Research (NIHR) and provides highly rated medical training in psychiatry. The Head of Department is Professor Belinda Lennox. We are looking to appoint two research assistants in medical data science to work on a research programme seeking to better predict and treat episodes of severe mental illness, using a novel data science approach based on measurements of symptom instability. What We Offer As an employer, we genuinely care about our employees’ wellbeing and this is reflected in the range of benefits that we offer including: • An excellent contributory pension scheme • 38 days annual leave • A comprehensive range of childcare services • Family leave schemes • Cycle loan scheme • Discounted bus travel and Season Ticket travel loans • Membership to a variety of social and sports clubs This role also offers the opportunity for hybrid working (up to 1 day/week). About the Role The post is funded to 30 April 2030 and is based in the Department of Psychiatry at the Warneford Hospital. You will be given access to large datasets spanning millions of patients with mental illness and will work on a range of project including the development of novel prediction tools, the investigation of determinants of symptom instability, and the creation of data-driven personalised treatment approaches. You will write computer code for analysis of large datasets, and collaborate in the des…
application opening date: 2025-02-10T09:00:00+00:00
type: Vacancy
contact: HR Officer
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value: _________________________________________________________________________ Summary Job title Research Assistant: Medical Data Science (2 posts) Division Medical Sciences Department Psychiatry Location Warneford Hospital Grade and salary Grade 6: £34982-£36616 per annum Hours Full time Contract type Fixed-term (funded to 30 April 2030) Reporting to Dr Max Taquet Vacancy reference 178017 The role IMPACT-SMI is a 5-year research programme starting in 2025. Our mission with IMPACT-SMI is to transform the lives of millions of people with severe mental illness (SMI) by making their condition more predictable and manageable. It builds on a groundbreaking discovery that instability in symptoms (their fluctuation over time) is a critical predictor of outcomes in SMI and represents a promising new treatment target. As a research assistant in medical data science in IMPACT-SMI, you will be given access to large datasets spanning millions of patients with mental illness to contribute to a range of projects including the development of novel prediction tools, the investigation of determinants of symptom instability, and the creation of data-driven personalised treatment approaches. In this role, you will collaborate closely with academic and industry partners, gaining valuable exposure to translational research. Your work will directly contribute to the creation of tools (by software developers) designed for integration into clinical practice, ensuring tangible impact on patient care. This role offers significant opportunities for growth and development as an academic. You will report to Dr Maxime Taquet and will be a member of his research group. You might also provide advice and guidance to research students where appropriate. Flexible working The post is only available as full-time given the time limit on the award. However, we can discuss flexible working hours (e.g. starting and finisihing earlier in the day) to accommodate your needs. Working remotely is possible for up to …
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