Location: | London |
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Salary: | £42,099 to £50,585 |
Hours: | Full Time |
Contract Type: | Fixed-Term/Contract |
Placed On: | 9th April 2024 |
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Closes: | 24th April 2024 |
Job Ref: | B02-06578 |
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.
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 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. 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 des cription 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:
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 equality.
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