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ALLSTAT  January 2018

ALLSTAT January 2018

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Subject:

JOB: Statistician, Queen Mary University of London, Clerkenwell, EC1M 6BQ

From:

Adam Brentnall <[log in to unmask]>

Reply-To:

Adam Brentnall <[log in to unmask]>

Date:

Thu, 4 Jan 2018 17:38:53 +0000

Content-Type:

text/plain

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Parts/Attachments

text/plain (40 lines)

Salary: £32,956 to £43,152 per annum inclusive of London Allowance (Grade 5)
Contract end: 31st July 2020
Closing date: 21-Jan-2018 

The Centre for Cancer Prevention (CCP) is at the forefront of research internationally into the prevention and control of cancer. We have particularly active programmes of research studying breast, cervical, colorectal and prostate cancer prevention, cancer screening and statistical methods for clinical trials and epidemiology.

The Preventive Neurology Unit (PNU) sits alongside CCP and is a new initiative designed to study key neurodegenerative diseases, with a focus on Parkinson’s disease (PD), all cause dementia and multiple sclerosis (MS).

The aim of the PNU is to characterise these diseases at the earliest possible stage, define ‘at-risk’ populations and employ preventive strategies to reduce their burden, through novel clinical trials. This exciting new initiative is the first of its kind and aims to establish itself over the next 3 years as an internationally-recognised centre of excellence in this field.

The post-holder will provide statistical support for observational studies that relate to key neurological diseases (PD, dementia, and MS). The flagship study is PREDICT-PD, which aims to identify a population at high risk of developing Parkinson’s disease, with a view to undertaking neuroprotective clinical trials to delay or prevent the onset of PD. The PREDICT-PD study will ultimately have 10,000 participants. Methods used in PREDICT-PD will be applied to other large datasets and to other neurological outcomes such as all cause dementia and MS.

The post-holder will also provide support for treatment, screening and epidemiological studies within CCP as well as a statistical consultancy service for external groups.

Applicants must have a good degree (First or 2:1) and an MSc or PhD or equivalent experience in statistics or a related quantitative field, along with experience of working with large data sets.  Candidates will need to have excellent communication and interpersonal skills, with a working knowledge of statistical, mathematical and database packages. Knowledge and experience in using statistical analysis tools such as STATA or R would be advantageous.

The post is full-time and fixed term until 31st July 2020. The starting salary will be £32,956 to £43,152 per annum inclusive of London Allowance. Benefits include 30 days annual leave and defined benefits pension scheme.

Candidates must be able to demonstrate their eligibility to work in the UK in accordance with the Immigration, Asylum and Nationality Act 2006. Where required this may include entry clearance or continued leave to remain under the Points Based Immigration Scheme. The CCP requires applicants to provide certificates at interview to confirm their qualifications.

Informal enquiries should be addressed to Professor Jack Cuzick (CCP) at [log in to unmask] or 020 7882 3504, or Dr Alastair Noyce (PNU) at [log in to unmask] or 020 7882 5841.

Details about the Institute can be found at http://www.wolfson.qmul.ac.uk/centres/ccp

Queries regarding the application process should go to [log in to unmask]

The closing date for the applications is 21 January 2018.

Interviews will be held shortly thereafter.

Valuing Diversity & Committed to Equality

The School of Medicine holds a Silver Athena SWAN Award. We are committed to the equality of opportunities and to advancing women’s careers. We have policies to support staff returning from long-term absence, for flexible arrangements for staff with parental responsibilities and for childcare support. As part of the School’s commitment to the Athena SWAN principles we strongly encourage applications from women.

You may leave the list at any time by sending the command

SIGNOFF allstat

to [log in to unmask], leaving the subject line blank.

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