Research Associate

The Department of Health Sciences is looking to appoint a Research Associate in the Mental Health and Addiction Research Group. This is an exciting opportunity to join a multidisciplinary team working to improve adolescent mental health.
The post offers the opportunity to be part of a large and successful Department, renowned for its methodological expertise and commitment to policy relevant research. You will conduct high-quality quantitative analyses of the Born in Bradford longitudinal birth cohort's Age of Wonder programme, a rich, life-course data set tracking the health and wellbeing of teenagers.
You will work with colleagues across the Born in Bradford collaboration to maximise the use of the unique data in the Age of Wonder study. You will develop Open Source material to increase accessibility of the datasets and undertake your own research using cutting-edge methodologies. You will be encouraged to disseminate your research through publications, seminars and conference presentations and contribute to the identification of new research areas.
The post sits within the prestigious NIHR Yorkshire and Humber Applied Research Collaboration, which aims to develop partnerships to address specific health or care issues in the region and to undertake cutting edge research. You will be employed by the University of York and based in the Department of Health Sciences.
The University of York offers flexible working patterns and a number of family friendly initiatives. As a Department we are proud to foster a supportive culture that helps staff and students contribute fully, flourish and excel, to reach their full potential. We embrace equality, diversity and inclusion as well as the values of the Athena SWAN Charter in all our Departmental activities., + Contribute to the production of research outputs and research outcomes.
+ Develop Open Source material to increase accessibility of the Age of Wonder dataset
+ Contribute to the obtaining of external research funding.

+ PhD in a relevant subject or, exceptionally, substantial experience at an equivalent level
+ Knowledge in mental health to engage in high quality research
+ Knowledge of a range of quantitative research methodologies
+ Ability to perform quantitative analyses in open-source software (e.g. R, python)
+ Experience of quantitative research using large datasets
+ Experience of writing up research work for publication

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.
The University strives to be diverse and inclusive - a place where we can ALL be ourselves.
We particularly encourage applications from people who identify as Black, Asian or from a Minority Ethnic background, who are underrepresented at the University.
We offer family friendly, flexible working arrangements, with forums and inclusive facilities to support our staff. #EqualityatYork