Research Assistant Remote
Job description
ABOUT US:
OnePlusOne is a leading provider of evidence-based digital behaviour change interventions (DBCIs). We specialise in translating research evidence into digital resources, combining science and experience to help people improve their relationships.
Our vision is relational capability for all.
We are all passionate about what we do; we are looking for someone to join the team with equal passion and commitment.
This is what our staff say about working at OnePlusOne:
“I wanted to join OnePlusOne because I love the idea that research and experience are used together to improve people’s lives. It’s not guesswork or speculation. It’s all based on academic expertise and a passion to help.”
Claire – Customer relationship manager
“Being a part of the team at OnePlusOne is really exciting as we are working on various projects that all have one goal in common – to provide people with accessible, evidence-based relationship help and contribute to a society where talking about relationships is normalised and their importance is a well-known fact. OnePlusOne’s work culture is very healthy, warm, understanding and stimulating – you can be yourself, everyone is always ready to help and support you, and what you say and think matters.”
Alex – Research assistant
Working for a charity that make a big difference to people’s lives is a very special thing. I am grateful that OnePlusOne offer flexibility meaning a great work life balance. Staff wellbeing is also a priority, which is refreshing. I really enjoy being a part of the team.
Gemma– Customer service administrator
THE ROLE:
The purpose of this job is to help to deliver One plus One’s programme of research to fulfil the organisation’s objectives of understanding and supporting couple relationships. A core part of this role will be monitoring and evaluation of our work with local authorities, and liaising with practitioners about their use of our digital interventions.
Key tasks and responsibilities:
· To conduct our usual monitoring and evaluation of local authority’s use of our digital package. This includes carrying out quarterly learning sets with practitioners from local authorities, designing pre- and post-test surveys, tidying and analysing quantitative data from multiple locations, writing quarterly qualitative reports, sending monthly sign-up and usage data emails.
· To assist with the conduct of other research projects, where necessary. This may include participating in survey design, interviewing, contributing to the analysis and interpretation of quantitative and qualitative data, and writing of research reports.
· To carry out background research through liaison with other organisations and literature searches to inform projects and project planning. To analyse and summarise literature and other material as part of research projects.
· To assist with project and departmental administration. Organise and maintain project files, including data collection files, references and any other project related information, such as questionnaires and transcripts. Generate correspondence, reports and graphics.
· To assist with the dissemination of research findings, through writing articles and other briefings, and to contribute to seminars and presentations.
· To keep up to date with published and ongoing research in this field and disseminate information about projects or papers of interest to other members of staff.
· To work with colleagues to identify new research ideas and to develop proposals.
· To attend meetings of staff and to respond to actions agreed at meetings.
· Any other appropriate duties which may be requested by the Senior research lead or CEO.
ABOUT YOU:
You will have experience with:
· Quantitative data collection, tidying and analysis
· Literature reviews
· Report writing
· Facilitating qualitative groups (e.g. learning sets, focus groups)
· Comprehensive knowledge of SPSS or R
and a good knowledge of:
· Google analytics or other analytics packages
· Excel
For a full job description, please email: [email protected]
BENEFITS:
- Remote working: we all work from home and meet roughly once a month in London.
- Travel expenses paid for the monthly meetings in London incompliance with our expenses policy.
- Flexible working hours (start and finish early/late plus other family-friendly, flexible working arrangements)
- 25 days plus Bank Holidays plus 1 day for your birthday.
- Later start on the first Monday of the month.
- Option to join OnePlusOne pension scheme.
- Free eye test.
EQUALITY DIVERSITY INCLUSION STATEMENT:
We are fully committed to respecting and treating everyone fairly. Our staff are all equal and everyone is given equal access to opportunities.
We encourage applications from candidates from diverse backgrounds.
- We will operate a blind recruitment process: the panel responsible for the shortlisting will not see any element in your application that might lead to unconscious bias.
- Candidates who are shortlisted for an interview will see the interview questions in advance.
- Should you require additional support with making your application please email [email protected]
HOW TO APPLY:
If you're interested in this role, please send your CV and answers to the questions below.
We are dealing with a high volume of applications, please bear with us, we will let you know within a week if your application has been successful.
Eligibility to work in the UK is required and you will need to be based in the UK.
Job Types: Part-time, Permanent
Part-time hours: 21 per week
Salary: £27,000.00-£30,000.00 per year
Benefits:
- Flexitime
Schedule:
- Flexitime
- Monday to Friday
- No weekends
Application question(s):
- At present we can only employ people based in the UK. Are you eligible to work in the UK and are you based in the UK?
- Please provide details about your experience of quantitative data collection, tidying and analysis. (max. 200 words)
- Please tell us about your experience of literature reviews. (max. 200 words)
- What experience do you have of writing reports? (max. 200 words)
- Please outline your experience of facilitating qualitative groups (eg learning sets, focus groups). (max. 200 words)
- Have you used SPSS or R? Please detail. (max. 200 words)
Work Location: Remote
