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.
Closing date: 10th September 2017
For further details and to apply see
http://www.lstmed.ac.uk/research-assistant-statistics
Ref: 376-17
Sarah White
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