Research Associate in Medical Statistics
Health and Medical,Medicine and Dentistry,Anatomy, Physiology and Pathology,Pharmacology, Toxicology and Pharmacy,Biological Sciences,Biology,Genetics,Microbiology,Molecular Biology and Biophysics,Biochemistry,Other Biological Sciences,Mathematics and Statistics,Mathematics,Statistics
Short info about job
Company: University of Leicester
Department: Department of Health Sciences - College of Medicine, Biological Sciences and Psychology
Salary: £32,958 to £34,956 per annum due to funding restrictions. Grade 7.
Hours: Full Time
Contract type: Fixed-Term/Contract
Type / Role: Academic or Research
Phone: +44-1371 2006622
Fax: +44-1460 1148315
E-mail: N\A
Site: N\A
Detail information about job Research Associate in Medical Statistics. Terms and conditions vacancy
Full-time open ended contract subject to fixed term funding. Funding is available until 31 March 2020
Together our staff and students are discovering innovative ways to change the world for the better and there has never been a more exciting time for you to join us. We are ranked in the top 1% of universities worldwide and have an international reputation for excellence in teaching and research. We are led by discovery and innovation, with the synergy between research and learning at the core of our activity.
We wish to appoint a researcher with excellent statistical skills to carry out analyses for three research projects at the University of Leicester. You will develop and implement methodologically appropriate statistical strategies and lead and independently carry out quantitative analyses. This will involve analysis of large national complex datasets, utilising advanced statistical techniques including survival analysis, inverse probability censored weighting (IPCW) and multiple imputation. You will also provide statistical advice and specialist support to study staff and contribute to presentations and publications.
The ideal candidate will hold a PhD in Biostatics or Medical Statistics or have a relevant MSc plus extensive research experience. You will also have experience of quantitative statistical analyses, ideally in the area of perinatal or paediatric care. A good working knowledge of the Stata or R statistical software would be beneficial.
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Informal enquiries are welcome and should be made to Professor Elizabeth Draper on [email protected] or 0116 252 3200.
The closing date for this post is midnight on 21 September.
We anticipate that interviews will take place on 10 October 2017.