Research Fellow (Statistician)
University College London
About usThe UCL Institute for Global Health (IGH) is at the heart of UCL’s Grand Challenge of Global Health. The Institute’s vision is for a world where international policy on global health is informed by world-class research. IGH aims to support the development of robust solutions to aspects of the world’s major global health challenges through scholarly outputs, education, public engagement, translational research, and ultimately by influencing public policy and professional practice.We are seeking an enthusiastic Research Fellow to join the Centre for Clinical Research, Epidemiology, Modelling and Evaluation within the Department of Infection and Population Health in UCL’s Institute for Global Health. The Centre contains a large number of statisticians and epidemiologists working on the design and analysis of studies of HIV infection. Researchers within the Centre apply multi-disciplinary research methods to generate an in-depth understanding of problems and their solutions in order to inform improvements in population health and guide policy.The post is funded until 31st March 2025 in the first instance and involves responsibility for statistical analysis relating to studies of multimorbidity and sleep disturbances in the Pharmacokinetic and clinical Observations in PeoPle over fiftY (POPPY) Study as well as analyses relating to other ongoing research studies within the Centre. The post-holder may also provide statistical support to new and ongoing projects conducted through the NIHR HPRU.The POPPY StudyThe POPPY study (NCT01737047) is a longitudinal multi-centre cohort established to assess the effects of ageing on clinical outcomes of people with HIV in the United Kingdom and Ireland, which is led jointly by Professor Alan Winston (Imperial College London) and Professor Caroline Sabin (UCL). The study recruitment and follow-up is co-ordinated at Imperial College London, with the statistical analysis centre being at UCL. Demographic, lifestyle, clinical and laboratory data from each POPPY study visit are captured electronically and are linked with historic longitudinal HIV data from two existing longitudinal cohorts of people with HIV (the UK Collaborative HIV Cohort (UK CHIC) study and the University College Dublin (UCD)-ID Cohort Study).NIHR HPRU in Blood-Borne and Sexually Transmitted InfectionsThe NIHR HPRU is a partnership between UCL and UKHSA. Researchers in the NIHR HPRU aim to conduct state-of-the art research on sexually transmitted infections (STIs) and blood-borne viruses (BBVs) to improve the health of the population and to help develop practical policy guidelines for those working in health protection. Research in the NIHR HPRU is structured around three main themes of risk and risk reduction, under-diagnosis, and the care and management of those diagnosed with infections. The culture of the NIHR HPRU is one of working across different disease areas, populations, and academic institutions with the aim of providing a legacy of world-leading public health research in the field.About the roleThe post-holder will be responsible for statistical analysis relating to multi-morbidity within the Pharmacokinetic and clinical Observations in PeoPle over fiftY (POPPY) Study as well as analyses relating to other new and ongoing research studies within the Centre. The post-holder may also provide statistical support to new and ongoing projects conducted through the NIHR HPRU.Amongst other duties, the post holder will be expected to:
This is a full-time role (i.e. 36.5 hours per week) and it is available immediately until 31st March 2025.This post is based at Royal Free Campus, Rowland Hill Street, London, NW3 2PF.A job description and person specification can be accessed at the bottom of this page.Salary range: £42,099 to £50,585 per annum (including London Allowance).If you have any queries about the role, please contact Professor Caroline Sabin on .If you need reasonable adjustments or a more accessible format to apply for this job online or have any queries about the application process, please contact the IGH HR Team on .About youIt is essential that the candidate has a master`s degree in Medical Statistics or a closely related subject, and an awarded (or submitted) PhD within a closely related field. Experience in the analysis of longitudinal HIV datasets and a demonstrable knowledge of multimorbidity and sleep disturbances is essential.The candidate must have excellent communication skills, with an ability to communicate statistical concepts effectively to those with only minimal statistical knowledge. The candidate must also possess excellent organisation and time-management skills and demonstrate a strong team-work ethic.The role requires that the post holder can work on their own initiative and has the ability to manage several projects at once. Previous experience in a similar role and environment would be helpful.What we offerAs well as the exciting opportunities this role presents, we also offer some great benefits some of which are below:
Visit to find out more.Our commitment to Equality, Diversity and InclusionAs London’s Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world’s talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong.We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL’s workforce.These include people from Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people; and for our Grade 9 and 10 roles, women.Our department holds an Athena SWAN Silver award, in recognition of our commitment and demonstrable impact in advancing gender equality.Available documents
£42099 – 50585 per year
North West London
Thu, 05 Sep 2024 05:23:21 GMT
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