Research jobs at Heriot-Watt University, Edinburgh, UK

About Heriot-Watt University

Heriot-Watt University is a public university in Edinburgh, Scotland. The university consists of six schools and one institute that coordinate its teaching and research. Furthermore, the university offers courses in various fields like Engineering and Physical Sciences, Social Sciences, Textiles and Design, Business and more. The Times and Sunday Times Good University Guide had named the university International University of the Year in 2018. Moreover, the university was 1st in Scotland for research impact. Above all, it is in 302nd position in the QS World University Rankings 2019.

About position

The university is seeking Research Assistant to work on a project funded by the Carnegie Trust focusing on the long-term mental health impact of cannabis use. Basically, the position holder needs to perform the following duties

• Lead on the acquisition and preparation of data, and data analyses as well as dissemination, including peer-reviewed publications, reports, and presentations.
• Develop a strong knowledge of the datasets including relevant variables across study waves and study participants. Also, acquire and prepare datasets for analysis.
• Assist in the preparation of peer-reviewed publications and policy dissemination documents.
• Lead the development of a funding proposal for further research.
• Organize dissemination activities including a seminar targeting practitioners and policymakers and at least one conference presentation.
• Furthermore, other activities as per the direction of respective authority.

Required qualifications and skills

• University degree in Psychology, Epidemiology, Health Science or relevant areas. Master’s or Ph.D. is preferred but candidates with ongoing Master’s or Ph.D. studies can also apply.
• Experience in research including working with longitudinal data and secondary data.
• Ability to work independently and as part of a team.
• Excellent communication, interpersonal and organizational skills.
• Strong statistics skills including analyzing longitudinal data, approaches to missing data and advanced analytical techniques.