Senior Research Associate in Medical Statistics

University of Bristol

Bristol, UK

38,017 - £42,792

Apply

Before you apply - don't miss out!

Subscribe to our weekly job alert

By registering you agree to our terms & conditions and privacy policy.

You can unsubscribe anytime using the link in the bottom of the email.

You will receive an email asking you to confirm your subscription

Job number: ACAD104231

Division/School: Bristol Medical School

Contract type: Open Ended

Working pattern: Full time

Salary: £38,017 - £42,792 per annum

Closing date for applications: 30-Oct-2019

We have an exciting opportunity for a talented medical statistician (or a closely related field with strong quantitative skills) to evaluate statistical methods that examine causal questions, and to create easy to use software to implement these statistical methods. Funded by the Wellcome Trust, the post holder will conduct research on statistical methods and software tools that assess the sensitivity of a study’s conclusions to common sources of bias such as unmeasured confounding, missing data, non-random selection and measurement error.

The successful applicant will have a PhD (or equivalent research experience) in medical statistics or a related quantitative discipline. You will have used a variety of statistical methods and have an interest in the background of these statistical methods; for example, the advantages and limitations of a method. In addition, you will have a keen interest in computer programming, with a clear understanding of basic programming concepts (e.g., if else statements, for loops and while loops).

The post holder will work on this project with Dr Rachael Hughes and Professor George Davey Smith, and with collaborators from within the University and externally. The role will be based at the MRC Integrative Epidemiology Unit (http://www.bristol.ac.uk/integrative-epidemiology/), which is an internationally recognized institute of excellence in epidemiology in the UK, with research programmes encompassing causal modelling, genetic and epigenetic epidemiology.

For informal enquiries please contact Rachael Hughes, email: rachael.hughes@bristol.ac.uk

Interviews are planned for Thursday 28th November 2019.

We welcome applications from all members of our community and are particularly encouraging those from diverse groups, such as members of the LGBT+ and BAME communities, to join us.



Apply

Before you apply - don't miss out!

Subscribe to our weekly job alert

By registering you agree to our terms & conditions and privacy policy.

You can unsubscribe anytime using the link in the bottom of the email.

You will receive an email asking you to confirm your subscription

Not what you're looking for?

Use our search to find your ideal career opportunity

Search term is required
No jobs were found
Total of [[ totalJobs ]] jobs were found

[[ jobs.name ]]

[[ jobs.location ]]
[[ jobs.salary_min|decimals ]] - [[ jobs.salary_max|decimals ]]
[[ jobs.posted_time_friendly ]]

Featured Jobs

IST Austria

Klosterneuburg, Austria

October 31, 2019

University of Bristol

Bristol, UK

October 30, 2019

Natural Resources Wales

October 20, 2019

Forest Research

Edinburgh, Scotland

November 03, 2019

The National Audit Office

London SW1

December 01, 2019

Booking.com

Manchester, UK

November 09, 2019

The Francis Crick Institute

1 Midland Road, London

October 22, 2019

University of Wollongong

Wollongong

November 03, 2019

Civil Service Fast Stream

October 23, 2019

Civil Service Fast Stream

October 23, 2019

Natural Resources Wales

October 20, 2019

Competition and Market Authority

Canary Wharf, London

November 04, 2019

BAE Systems

Warton, Preston, UK

November 09, 2019

UCLA

Los Angeles, CA

October 17, 2019

Tui

Luton, UK

November 09, 2019

Civil Service Fast Stream

October 23, 2019

Nuffield Department of Medicine

Oxford, UK

November 11, 2019

Our Partners

Logo for Dstl
Logo for Prifysgol
Logo for Bank Of England
Logo for Cma
Logo for Frontier
Logo for Logo
Logo for Mit Logo

Like what you see?

Post a job