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Research Associate (Quantitative Methods)

Department
Health Sciences
Based at
Better Start Bradford Innovation Hub
Hours of work
Full-time
Contract status
Fixed term
Salary
Grade 6, 32,817 - 40,322 a year
Interview Date
30/03/2020
Posted Date
04/02/2020
Apply by
16/03/2020
Job Reference
8431
Documents

Role Description

Department

The Department of Health Sciences is looking to appoint a Research Associate with experience in quantitative evaluation methods to support to research activities within the Better Start Bradford Innovation Hub. In this role you will work under the supervision and mentorship of Dr Maria Bryant and Professor Tracey Bywater. This is a unique opportunity to be part of a world-leading preventive research programme and research team, working to improve the life chances of children within Bradford.

Role

Based predominantly in Bradford at the Bradford Institute for Health Research (min 3 days/week) and at the University of York, you will contribute to the design and implementation of research approaches to evaluate and analyse the effectiveness of multiple interventions delivered in the early years to improve the health of children.  In addition, you will write up results and support dissemination through publications, seminar and conference presentations and public engagement and outreach activities; contributing to the identification of possible new areas of research; liaising with staff and investigators in BiB and in our other large Bradford-based studies; attending relevant meetings and developing an independent research agenda.

Condition of appointment

This role is exempt from the Rehabilitation of Offenders Act. Consequently, all applicants will be asked to declare both unspent and spent convictions on their application form.

Appointment of the successful candidate will be conditional on a Disclosure and Barring Service check.

Skills, Experience & Qualifications needed

  • First degree in health related area with quantitative training
  • PhD involving quantitative methods or mixed methods in a health related area or equivalent experience
  • Research knowledge in an area that will complement and enhance the department's research strategy
  • Knowledge of the health inequalities and ethnicity in relation to child health and wellbeing is desirable
  • Knowledge of a range of research techniques and methodologies (including quantitative methods) and high quality applied health research
  • Knowledge and understanding of different designs to test effectiveness of public health interventions such as parent programmes, e.g. randomised controlled trials, stepped wedge trials, quasi-experimental approaches etc
  • Experience of carrying out both independent and collaborative research
  • Ability to write up research work for publication in high profile journals and engage in public dissemination
  • Ability to develop and conduct individual and collaborative research projects and proposals for own and joint research, with the assistance of a mentor if required
  • Highly developed communication skills to engage effectively with a wide ranging audience
  • Ability to identify sources of funding and contribute to the process of securing funds, with collaborators if required
  • Good competency in a range of statistical methods for evaluation of public health interventions
  • Competency to make presentations at conferences or exhibit work in other appropriate events
  • Commitment to social justice and equality in health and health care

For informal enquiries contact Professor Tracey Bywater at tracey.bywater@york.ac.uk

The post is fixed term for 2 years and funded by the National Lottery Community Fund.

The University is committed to promoting a diverse and inclusive community  – a place where we can all be ourselves and succeed on merit. We offer a range of family friendly, inclusive employment policies, flexible working arrangements, staff engagement forums, campus facilities and services to support staff from different backgrounds.

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A place where we can ALL be ourselves #EqualityatYork

 

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