This is an exciting opportunity to join a leading Biostatistics team,
within the Institute for Primary Care and Health Sciences (iPCHS) at Keele
University, and conduct applied and methodology research in either
prognosis research (risk prediction) or IPD meta-analysis, as follows:
1) Grade 7 Biostatistics post in prognosis & risk prediction:
The post will undertake statistical analyses on primary studies and
systematic reviews of prognosis research, including (i) analyses for an EU
funded grant to stratify treatment for lower back and neck pain (Back-UP),
(ii) contribute towards prognostic reviews as part of the Evidence
Synthesis Working Group of the NIHR School for Primary Care Research
(SPCR), and (iii) prognostic modelling for a SPCR grant to stratify blood
pressure treatment (STRATIFY-BP). Also, to conduct methodology research in
prognosis research, and to contribute to the development and delivery of
new and existing training courses in prognosis research and risk prediction
modelling.
You will have an MSc in Biostatistics, medical statistics, applied
statistics, epidemiology or other related subject with substantial
quantitative component. You will also have experience in applied
Statistical analyses: specifically, analyses (or meta-analyses) of
prognosis studies, cohort studies and/or clinical trials. You will work
alongside Professor Richard Riley and Dr Kym Snell, and join our vibrant
Biostatistics Group
For more details see:
https://www.jobs.ac.uk/job/BNM301/research-associate-in-biostatistics-prognosis
Closing date: 12th November 2018
2) Grade 7 Biostatistics post in IPD meta-analysis:
The post will support the collection, harmonisation and meta-analysis of
individual participant data (IPD) from multiple studies, including for (i)
an NIHR funded grant to examine predictors of treatment effectiveness in
patients with shoulder pain (PANDA-S), (ii) a synthesis of randomised
trials investigating the effectiveness of exercise in patients with knee
and/or hip osteoarthritis (STEER-OA), and (iii) a NIHR School for Primary
Care Research (SPCR) grant to stratify blood pressure lowering treatment
(STRATIFY-BP). Also, to conduct methodology research in meta-analysis or
another relevant area to the research institute (e.g. prognosis research,
e-health records); to contribute to the design, delivery and analysis of
primary studies within iPCHS and supported by the Keele Clinical Trials
Unit; and to contribute to the development and delivery of new and existing
training courses (e.g. in IPD meta-analysis).
You will have an MSc in Biostatistics, medical statistics, applied
statistics, epidemiology or other related subject with substantial
quantitative component. You will also have experience in applied
Statistical analyses: specifically, analyses (or meta-analyses) of
prognosis studies, cohort studies and/or clinical trials. You will work
alongside Professor Richard Riley and join our vibrant Biostatistics Group
For more details see:
https://www.jobs.ac.uk/job/BNM331/research-associate-in-biostatistics-meta-analysis
Closing date: 12th November 2018
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