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Research AssociateUniversity College London - UCL Institute of Child Health - Population, Policy and Practice Programme[size=1.1em]
| Location: | London |
| Salary: | ￡33,686 Per annum, inclusive of London Allowance |
| Hours: | Full Time |
| Contract Type: | Permanent |
| Placed on: | 17th November 2015 |
| Closes: | 15th December 2015 |
| Job Ref: | 1521049 |
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The appointment will be on UCL Grade 7.
The post holder will conduct cutting-edge research of developing statistical methods to address missing confounder data and complex confounding for obtaining causal inference from observational studies, with a particular focus on event history data.
The postdoctoral research associate is responsible for carrying out statistical methodology research for the MRC Methodology Research Panel funded project “handling missing data and time-varying confounding in causal inference for observational event history data”. The aim of the MRC project is to develop a programme of methodological research to address: missing data in measured confounders; sensitivity analysis for unmeasured confounding; time-varying confounding; and multi-state treatment and outcome processes, for obtaining causal effects from observational studies with a particular focus on event history data. In particular, the post holder is expected to conduct research in the methodology and application for the research project under the supervision of the principal investigator and co-investigators.
This post is initially funded until the 31st August 2018 in the first instance
The ideal candidate will have a PhD in statistics, biostatistics or a closely related subject or be in the final stages of obtaining their PhD (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 ￡29,193 - ￡30,783 per annum) with payment at Grade 7 being backdated to the date of final submission of the PhD thesis (including corrections).
Experience of carrying out original and high quality methodology research in statistics or biostatistics is essential as is experience in Monte Carlo simulation and computational statistics and strong statistical programming skills (e.g. R). You should also have a solid understanding of statistical concepts and statistical inference.
UCL Reference: 1521049
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 please contact Dr Bo Fu, on b.fu@ucl.ac.uk. For any queries on the application process, please contact Andrew Parsons a.parsons@ucl.ac.uk.
Latest time for the submission of applications: 23:59.
Interview Date: TBC
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