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Marie Sklodowska-Curie Early Stage Researcher in Applied Biostatistics and Genetic Epidemiology

Are you a rising star in the field of biostatistics and keen to apply this to genomics data, in the first four years of your research career and based outside the UK? Do you want to further your career and attain a PhD in one of the UK’s leading research intensive universities?

This post is a PhD studentship available for a fixed term of three years to undertake research funded through Marie Curie as part of an Initial Training Network in relation to “HEalth data LInkage for ClinicAL benefit (HELICAL) Innovative Training Network. This research project (ESR 008) will focus on linking public and GCA datasets to identify novel pathogenic pathways. The HELICAL training program focuses on three complementary areas: application of informatics to such datasets to gain new biological insights; translation of these into practical clinical outputs and management of ethical constraints imposed on such studies.

You will be trained in advanced statistical genetics and systems biology applied to giant cell arteritis pathogenesis. General training will include enhancement of their awareness of FAIR and GDPR data principles. The HELICAL ITN is highly integrated and so the appointee will also have the opportunity to acquire additional skills through regular meetings, workshops and seminars, and through secondments to other partners in the HELICAL network.

To meet the requirements of the Marie Sklodowska-Curie Innovative Training Network, you will be an early stage researcher within the first four years of your research career, have not yet been awarded a doctoral degree (PhD), and have not lived or carried out your main activity (work/study) in the UK for more than 12 months during the past three years. 

As well as previous research experience, you will have a good honours BSc (minimum upper second or equivalent) in statistics or a related discipline. Research experience gained through an MSc would be advantageous as would experience in statistics, bioinformatics or computational biology.

In addition to the University’s online application form details, you must also complete and upload: 

  • The internal application pdf form for Euraxess

  • a personal statement explaining your motivation and project interests (max. 500 words)

  • 1 page CV which includes details of up to 5 of your most important publications (applications with CVs exceeding 1 page will be rejected)

To explore the post further or for any queries you may have, please contact: 

Informal enquiries may be made by email to:

Professor Ann Morgan, Professor of Rheumatology



Professor Jennifer Barrett, Professor of Statistical Genetics

Tel: +44(0)113 343 7358, email: 

Interviews are anticipated to be held on Friday 10 May 2019

Location:  Leeds - Main Campus
Faculty/Service:  Faculty of Medicine & Health
School/Institute:  Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM)
Section:  Discovery and Translational Science Department (DTSD)
Category:  Research
Grade:  Off grading structure
Salary:  p.a.
The Marie Sklodowska-Curie Early Stage Researcher living and mobility allowance (plus family allowance if applicable) is in line with Marie Sklodowska-Curie Innovative Training Network requirements.
Post Type:  Full Time
Contract Type:  Fixed Term (For 36 months - funded through the Marie Curie Scheme)
Release Date:  Friday 01 February 2019
Closing Date:  Thursday 18 April 2019
Interview Date:  Friday 10 May 2019
Reference:  MHLCM1172
Downloads:  Candidate Brief   Internal application pdf form for Euraxess  

The closing date for this job opportunity has now passed, and applications are no longer being accepted for this position

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