City University London’s Maternal and Child Health Research Centre wishes to recruit a part time statistician with experience of handling large datasets and statistical modelling to work on a project to assess whether the outcome of pregnancy in England and Wales varies by time of day, day of the week and season of birth. This is a question which is high on the current maternity services agenda, To do this, it is building on earlier work by City University London and partners in England and Wales to use data linkage to enhance the scope of the data available for monitoring maternity care and for research. The project is funded by the National Institute for Health Research Health Services and Delivery Research Programme.

 

The project is under way and the person appointed will work with the project co-investigators to analyse the linked datasets, take part in dissemination activities, including drafting articles for peer-reviewed journals and wider dissemination activities to professional and lay audiences and contribute to the overall activities of the project team. The post is based in City University London’s offices in Islington, but the analytical work will be done in the secure environment of the Office for National Statistics’ Virtual Microprocessor Laboratory in Drummond Gate, Pimlico.

Applicants should be statisticians or data analysts qualified to at least Masters level with experience of statistical data analysis in health-related research or social research, preferably but not essentially in the maternity or perinatal field. This project is currently at 0.6 fte until March 2017

Closing date 11.59pm on February 4 2016. Interviews will take place on February 10 2016. Applicants who would like to discuss the post are invited to email Alison Macfarlane at [log in to unmask] or phone 0207 040 5832

 

 

****************************************************** Please note that if you press the 'Reply' button your message will go only to the sender of this message. If you want to reply to the whole list, use your mailer's 'Reply-to-All' button to send your message automatically to [log in to unmask] Disclaimer: The messages sent to this list are the views of the sender and cannot be assumed to be representative of the range of views held by subscribers to the Radical Statistics Group. To find out more about Radical Statistics and its aims and activities and read current and past issues of our newsletter you are invited to visit our web site www.radstats.org.uk. *******************************************************