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ALLSTAT  April 2018

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Subject:

JOB: Biostatistician, University of Leeds

From:

Darren Greenwood <[log in to unmask]>

Reply-To:

Darren Greenwood <[log in to unmask]>

Date:

Mon, 16 Apr 2018 10:33:25 +0000

Content-Type:

text/plain

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text/plain (43 lines)

University of Leeds
School of Medicine

Full Time Fixed Term (until 31st July 2019)

Biostatistician/Epidemiologist

We are seeking a medical statistician or epidemiologist interested in applications to perinatal and life course epidemiology.

The University of Leeds is undertaking a major research project to provide an up-to-date estimate of the iodine status of pregnant women in the UK, and investigate any associations with birth outcomes and subsequent child development.  We will investigate how iodine levels vary over the course of pregnancy and breastfeeding, how this is affected by diet, associated changes in thyroid size and function, and what levels of iodine are linked with greater risk of subsequent health problems.  We are particularly interested in pregnancy outcomes, and the children's fine motor skills and cognitive development.  Extensive data linkage exists with clinical and educational datasets. The research will take advantage of existing urine samples collected from mothers during pregnancy in the Born in Bradford birth cohort study, where we also know of any adverse pregnancy outcomes, as well as any developmental problems for the baby and in early childhood.

We are seeking a biostatistician or epidemiologist to work on this research project.  You should have a PhD in biostatistics or epidemiology, or equivalent practical experience of advanced statistical techniques.  Applications will be accepted from individuals who have already submitted their thesis.  In such cases any offer would be made subject to successful PhD completion within a specific timeframe.

You will be responsible for appropriate data analysis and interpretation, constructing statistical models for health outcomes, and applying appropriate methods for longitudinal data.  Your effective communication and interpersonal skills will be essential in working with colleagues in Leeds and Bradford, and disseminating results in peer-review publications, to the funders and to the public.  Your organisational and time-management skills will ensure smooth running of the project and timely completion of milestones.

The University of Leeds is committed to providing equal opportunities for all and offers a range of family friendly policies (http://hr.leeds.ac.uk/homepage/4/policies).  The University is a charter member of Athena SWAN and holds the Bronze award.  The School of Medicine gained the Silver award in 2016.  We are committed to being an inclusive medical school that values all staff, and we are happy to consider job share applications and requests for flexible working arrangements from our employees.

University Grade 7 (£32,548 - £38,833 p.a.) depending on qualifications and experience. 

Informal enquiries regarding the post should be directed to Dr Darren Greenwood by email ([log in to unmask]) or telephone +44 (0) 113 343 1813, or to Dr Laura Hardie by email ([log in to unmask]) or telephone +44 (0) 113 343 7769.

Further particulars and online application can be found here: http://jobs.leeds.ac.uk/MHLCM1141
Job Ref: MHLCM1141
Closing date: 11th May 2018



Darren C Greenwood BSc MSc PhD
Senior Lecturer in Biostatistics
(1) Clinical and Population Science,
School of Medicine, University of Leeds
Level 8, Worsley Building, Clarendon Way, Leeds, LS2 9NL
(2) Leeds Institute for Data Analytics, University of Leeds
Tel: +44 (0)113 343 1813 (Direct)
Email: [log in to unmask]
Web: http://medhealth.leeds.ac.uk/profile/500/120/darren_c_greenwood

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