Research Associate

University College London - UCL Institute for Women's Health

Applicants are invited for an exciting opportunity for a statistician within the EPICure research team. The 2 MRC-funded EPICure studies are national population based evaluations of heath and outcomes following extremely preterm birth ( The study is currently analyzing data from a 19 year assessment and setting up an 11 year study. The postholder will be based at UCL and contribute to both studies working with Professor Neil Marlow (PI), Professor Joan Morris (statistics) and the multidisciplinary team. The post is available until 31 August 2019 in the first instance.

Applicants should have either a BSc/MSc in statistics, or MSc/PhD in medical statistics or equivalent research experience. Proven research aptitude in statistics and experience in statistical techniques and analysis is essential, in particular knowledge and understanding of statistical methods for analysing observational and longitudinal data. The study is analysed using STATA and experience in its use is desirable, as is experience in using RedCap for data collection. Appointment at Grade 7 is dependent upon having been awarded a PhD; if this is not the case, initial appointment will be at Research Assistant Grade 6B (salary £30,316 - £31,967 per annum) with payment at Grade 7 being backdated to the date of final submission of the PhD thesis.

The appointment will be on UCL Grade 7. The salary range will be £34,635 -  £41,864 per annum , inclusive of London Allowance.

UCL vacancy reference:1701492

Applicants should apply online. To access further details about the position and how to apply please click on the ‘Apply’ button below.

If you have any queries regarding the vacancy or the application process, please contact Christina Ahlfors; or 020 31.08 2033.

Interview Date: TBC

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