Research Assistant - Statistics

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Detail information about job Research Assistant - Statistics. Terms and conditions vacancy

Contract type: Fixed term, Full time until 31st December 2018

Closing date: 10 September 2017, 23:45

The Centre for Maternal and Newborn Health has an opportunity for a Research Assistant to join the team.

LSTM is an internationally recognised centre of excellence for research in tropical diseases. Through the creation of effective links with governments, organisations and institutions and by responding to the health needs of communities, LSTM aims to promote improved health, particularly for people of the less developed / resource poorest countries in the tropics and sub-tropics.

Within LSTM, the Centre for Maternal and Newborn Health (CMNH) is a leading global centre of research excellence, which aims to improve the availability and quality of healthcare for mothers and babies and contribute to a global reduction in maternal and newborn mortality and morbidity. Due to the recognised success and impact of our work, we are now looking to recruit a Research Assistant to become a part of the internationally recognised team to enable quantitative data processing and statistical analysis for our projects.

Reporting to the Senior Statistician, you will liaise with lead investigators to develop plans and organise data to prepare statistical reports. You will accurately collect data and contribute to the design of the process to support real time data review. As a RA, you will also assist in providing statistical advice, operate weekly statistics clinic and assist in maintaining logs of consultations and train staff. You will also contribute to the design of research protocols and SOPs across CMNH.

The ideal candidate will have a BSc (or above) in Statistics / Maths or computer science, coupled with advanced knowledge of quantitative analysis software, MS Office software and knowledge of using statistical methods for data analysis. You must bring a demonstrable track record of working on project data, using Stata and/or SPSS for analysing data. You must have proven ability to manage a research database including cleaning, analysing and reporting data. Strong organisational skills with the aptitude to communicate and collaborate across the organisation is as critical as is your ability to work independently to timelines by taking ownership of assignments. Although this post is based in Liverpool, overseas travel may be required.

This job is unlikely to attract a Tier 2 Certificate of Sponsorship (formerly a work permit). Applications from candidates who require Tier 2 immigration status to work in the UK may not be considered if there are a sufficient number of other suitable candidates. To apply for a Tier 2 Certificate of Sponsorship, employers need to demonstrate that they are unable to recruit a resident worker before recruiting an individual overseas.

We believe that this post will not be suitable for individuals on Tier 5 visas as these posts are not considered to be supernumerary to the organisation. For further details, please visit the UKVI website: https://www.gov.uk/browse/visas-immigration (link is external).

Take a look at some of the great work we have achieved over the past year 2015-2016 by viewing our annual report: http://www.lstmed.ac.uk/about/publications/lstm-annual-report-2015-2016

LSTM actively promotes an Equal Opportunities Policy