Research Fellow

Job title:

Research Fellow

Company

University College London

Job description

About us UCL – London’s Global University – is one of the leading Universities of the World. The Royal Free Campus of UCL Respiratory includes clinical research teams active in chronic obstructive pulmonary disease (COPD), obstructive sleep apnoea (OSA) and tuberculosis (TB). Professor Hurst (https://profiles.ucl.ac.uk/3662-john-hurst ) is an NIHR Global Research Professor with an active programme of work in COPD both in the UK and overseas, aiming to reduce the burden of COPD. This post will provide statistical expertise and data analysis for Professor Hurst’s global health research programmes in COPD, whilst supporting the wider department on other respiratory research projects. UCL Respiratory is part of the UCL Division of Medicine. Through supervision by Dr Julie Barber, the post holder will maintain close links with the Biostatistics group within the Department of Statistical Science at UCL – the longest established university statistics department in the world. This is one of nine departments in the UCL Faculty of Mathematical and Physical Sciences (MAPS). The Biostatistics group works with the medical community through the UCLH/UCL NIHR Biomedical Research Centre (BRC) and the UCL Primary Care and Mental Health (PRIMENT) Clinical Trials Unit (CTU) and also conducts their own research into appropriate statistical methodology relevant to health care research. Both departments teach at all levels (undergraduate single/combined honours, service courses, MSc and PhD) including MSc courses in Respiratory Medicine and Medical Statistics. UCL is proud of its longstanding commitment to equality and to providing a learning, working and social environment in which the rights and dignity of its diverse members are respected. Highlights include: • Race Charter Mark. UCL holds a Bronze Race Equality Charter Mark award, recognising UCL’s commitment to improving the representation, progression and success of minority ethnic staff and students. • Athena SWAN. UCL holds an institutional Silver Athena SWAN award which recognises our commitment to and impact in addressing gender equality • Staff networks. We have a number of staff networks that run a range of social and development activities, for example Out@UCL, PACT, Enable@UCL, the race equality staff network, Astrea and UCL Women. • B-Mentor. B-MEntor is a mentoring scheme for black and minority ethnic staff. The mentoring scheme is a collaborative initiative with a number of London-based universities. • UCL benefits and policies apply equally, whatever the sexual orientation and/or gender identity of employees. Benefits and policies relating to employees partners, includes both different sex and same sex partners.About the role The post is an exciting opportunity for a post-doctoral statistician with a strong background in statistics as applied to health research studies who would like to grow that skills set. They will gain hands on experience while collaborating on research projects including both randomised trials and observational studies. They will advise on study design and will be responsible for planning and carrying out analysis of study data. The primary focus will initially be on secondary analyses from the existing Global Excellence in COPD Outcomes study (see: PMID: 35015039, published in JAMA 2022) and later on leading analyses from a new programme of work to study diagnosis and management of COPD in Brazil, in collaboration with a team led by Professor Renata Mendes at the Federal University of San Carlos (UFSCar). Travel to Brazil will be part of the role, supporting the UFSCar team. In addition, the postholder will have opportunities to work on other applied research projects within Respiratory medicine and will also be able to develop their own methodological research portfolio and expertise. This may include opportunities to work with members of the Biostatistics Group at UCL Statistical Science. The postholder will be able to attend and contribute to the Statistics Department and the PRIMENT CTU seminar series on statistical methodology. The postholder will be located at UCL Respiratory (Royal Free Campus) and will be accountable to Professor John Hurst (UCL Respiratory) and Associate Professor Julie Barber (UCL Statistical Science). This post is available immediately and funded for a minimum of 1 year and a maximum of 5 years. Health Research at UCL and the Royal Free provide an exciting and dynamic environment and an excellent opportunity for the right applicant to develop a career as a Medical Statistician. Duties and responsibilities: • Undertake work including statistical analyses and relevant methodological research. • Collaborate on research projects and funding applications with health researchers within UCL Respiratory at the Royal Free Campus. • Publish in high-quality journals and participate in national and international conferences. • Advise and support health researchers to ensure the best possible design, conduct, analysis and reporting of studies in biomedical research. • Advise on preparation of reports for funding agencies and ethics committees. • Teach on UCL Respiratory and Medical Statistics Courses. • Maintain up to date skills and knowledge of statistical methods that are of relevance to health research studies. • Participate in Unit, Departmental and Faculty meetings and seminars as appropriate aimed at sharing research outcomes and building interdisciplinary collaborations. • Maintain effective communication and accurate records. • Maintain own continuing professional development. • Maintain an awareness and observation of fire and health and safety regulations. • Participate in and contribute to staff review and development. In addition, the post holder will be expected to actively follow and promote UCL policies, including Equal Opportunities and Race Equality policies; and to carry out any other duties commensurate with the grade and purpose of the post. The successful candidate will need to meet UCL’s expectations of core behaviours as outlined in https://www.ucl.ac.uk/human-resources/policiesadvice/core-behaviours-framework. As duties and responsibilities change the job description will be reviewed and amended in consultation with the post holder.About you You will be a post-doctoral statistician with experience and expertise in analysis of clinical trial data. The ability to code in STATA is essential for this role and experience of coding in R would also be an advantage. You will be collaborative and reliable.
For extensive set of skills please see Job Description attached.What we offer This is an exciting opportunity to join a multidisciplinary team working across the Division of Medicine. As well as the exciting opportunities this role presents, we also offer some great benefits some of which are below: • 41 Days holiday (27 days annual leave 8 bank holiday and 6 closure days) • Additional 5 days’ annual leave purchase scheme • Defined benefit career average revalued earnings pension scheme (CARE) • Cycle to work scheme and season ticket loan • Immigration loan • Relocation scheme for certain posts • On-Site nursery • On-site gym • Enhanced maternity, paternity and adoption pay • Employee assistance programme: Staff Support Service • Discounted medical insurance Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more.Our commitment to Equality, Diversity and Inclusion As 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 Our department holds an Athena SWAN Silver award, in recognition of our commitment and demonstrable impact in advancing gender equalityAvailable documents

Expected salary

Location

North West London

Job date

Fri, 12 Apr 2024 00:37:02 GMT

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