Research Fellow, Health Research

Edinburgh, United Kingdom
Grade 5, GBP 32,236 - GBP 38,460 per annum 
31 Jul 2019
End of advertisement period
11 Aug 2019
Contract Type
Full Time

Application closing date: 11/08/2019
Salary: Salary: Grade 5, £32,236 - £38,460 per annum
Package: Excellent benefit package

Job description

We are currently looking for a Research Fellow in Health Research to join our School of Health & Social Care on a 6 month fixed term contract. This role is offered on a part time basis of 21 hours per week. You will be supporting the project We Can Quit 2 (WCQ2) which is a two-arm cluster randomised pilot trial of a community-based smoking cessation intervention for women in disadvantaged areas of Ireland comparing the WCQ2 tailored smoking cessation programme with usual care. The primary focus of this research is to address the feasibility and acceptability of the intervention, and the results will inform the design of a future definitive trial.

At Edinburgh Napier University, we aim to create research opportunities that develop talent and solutions that really work and matter in today's and tomorrow's world. Our GBP 60 million, purpose built science and health campus in Sighthill houses industry grade equipment which allows our students to develop expert analytical and technical skills. It is for reasons such as this we are ranked number one in the UK for nurturing student talent.

The role

As Research Fellow, you will coordinate all aspects of data analysis, ensure we are working to GDPR compliant processes, undertake the analysis of project data, and prepare a report based on the analysis.

You will provide timely progress updates for Trial Management Committee meetings, and occasionally prepare information for the Trial Steering Committee. You will be responsible for updating the analysis plan, conduct data quality checks, explore missing data, understand missingness mechanisms and adapt analysis plans as necessary, understand any risks of bias, update the meta-data, and support the report-writing.

Please note that travel to Dublin may be necessary from time to time (1 - 2 times).

This is an exciting opportunity for you to enhance your research career, gain experience in cluster randomised trial methodology through working with an international experienced multidisciplinary team.

What are we looking for

Essential requirements:

  • Dedicated postgraduate degree with strong statistical components
  • Formal training using at least one statistical software such as SPSS, Stata, R etc
  • Experience of analysing datasets using statistical software

Desirable attributes: 

  • PhD or about to complete a PhD in relevant area
  • Experience of clinical research and/or randomised controlled trials or feasibility/pilot trails and studies
  • Experience of cluster randomised trials
  • Experienced in programming syntax

To know more about this exciting opportunity please click here to view the role profile.

Benefits we offer

In return, we offer a great working environment where we support ambition, recognise achievement and offer an attractive benefit package. This includes a minimum of 41 days annual leave, a generous pension scheme, professional development opportunities, discounted access to onsite sports facilities and a wide range of other staff discounts.

Salary: Grade 5, GBP 32,236 - GBP 38,460 per annum 

Additional Information

Interviews: are expected to be conducted on 23rd August 2019

This role does not meet the minimum requirements set by UKVI to enable sponsorship of migrant workers. Therefore, we cannot progress applications from candidates who require sponsorship to work in the UK. For further information on this, please visit the UK Visas and Immigration website: https://www.gov.uk/browse/visas-immigration/work-visas

The University is committed to inclusion, demonstrated through our work in respect of our diversity awards and accreditations (Advance HE's Athena SWAN Charter) and hold Disability Confident, Career Positive and Stonewall Scotland Diversity Champion status. More details can be found here