Senior Research Assistant (Quantitive)

Manchester Metropolitan University; Manchester; Hybrid; GBP 38,000 - 52,000; Full time

Benefits offered by this job

Hybrid working

Job summary

Manchester Metropolitan University is seeking a Senior Research Assistant (Quantitative) to join the Institute of Sport and contribute to a research partnership with Nuffield Health. You will provide quantitative research support across health and wellbeing projects, using robust data analysis and statistical modelling to evaluate the effectiveness of interventions.

You will work with colleagues across both organisations and help communicate findings to diverse audiences.

Qualifications

• Postgraduate degree in statistics, public health or related health science field.
• Experience with advanced data analysis and statistical modelling.
• Experience using R for data analysis and visualisation.
• Ability to communicate findings to diverse audiences clearly.
• Ability to work both independently and in a team.
• Experience contributing to research publications or reports.

Responsibilities

• Undertake robust statistical analysis of research data to assess interventions.
• Explore, analyse and visualise data using R.
• Translate complex findings into clear messages for different audiences.
• Support front-line teams in making data-informed decisions.
• Report on research progress to the partnership group.
• Contribute to research reports, publications and presentations.
• Collaborate with academic colleagues and research partners.
• Support students and other members of the research team.

Skills

Advanced data analysis

Statistical modelling

Data visualization

Communication of findings

Independent & collaborative work

Research publication experience

Education

Postgraduate degree in statistics or health sciences

Tools

R

Job description

Manchester Metropolitan University is seeking a Senior Research Assistant (Quantitative) to join our Institute of Sport and contribute to an exciting research partnership with Nuffield Health.

This role will provide quantitative research support across collaborative health and wellbeing projects, using robust data analysis and statistical modelling to evaluate the effectiveness of interventions. You will have the opportunity to work with colleagues across both organisations and contribute to research that can support evidence-based decision making and the development of new approaches to health and wellbeing.

You will work closely with research colleagues and partners, taking responsibility for quantitative data analysis where appropriate and helping to communicate research findings to both technical and non-technical audiences.

About you

We are looking for someone with a strong background in quantitative research and advanced statistical analysis. You will have:

• Experience undertaking advanced data analysis and statistical modelling using R.


• The ability to analyse and interpret complex data and communicate findings clearly.


• Experience exploring and visualising data to tell a meaningful story to a range of audiences.


• Experience contributing to research publications and communicating findings through written reports, presentations or academic/professional journals.


• Experience of working independently and collaboratively to plan and prioritise research activity and deliver agreed objectives.


• Strong problem-solving skills and the ability to use initiative to develop practical solutions.


• A postgraduate degree or equivalent qualification in statistics, public health or a related health science discipline.

Experience of clinical trial analysis, large-scale complex health datasets, or health and wellbeing intervention research would be particularly valuable. Experience of writing research proposals and submitting ethics applications is also desirable.

What you will do

You will:

• Undertake robust statistical analysis of research data to assess the effectiveness of interventions.


• Explore, analyse and visualise data using R.


• Translate complex findings into clear and meaningful messages for different audiences.


• Support front-line teams in making data-informed decisions.


• Report on research progress to the Manchester Metropolitan University and Nuffield Health partnership group.


• Contribute to research reports, publications and presentations.


• Work collaboratively with academic colleagues and research partners to develop research activity.


• Help support students and other members of the research team where appropriate.


• Contribute to the wider research culture within the Institute of Sport.

Join our research community

This is an excellent opportunity to contribute to collaborative research at the intersection of health, wellbeing, sport and data science, while developing your own research profile and working with academic and external partners.

You will be encouraged to engage in scholarly activity and contribute to the development and dissemination of research, including through conferences, professional networks and peer-reviewed publications.

The role also provides opportunities to support the development of students and colleagues and to contribute to future research directions within the department.

Manchester Metropolitan University fosters an inclusive culture of belonging that promotes equity and celebrates diversity. We value a diverse workforce for the innovation and diversity of thought it brings and welcome applications from all local and international communities, including Black, Asian, and Minority Ethnic backgrounds, disabled people, and LGBTQ+ individuals.

We support a range of flexible working arrangements, including hybrid and tailored schedules, which can be discussed with your line manager. If you require reasonable adjustments during the recruitment process or in your role, please let us know so we can provide appropriate support.

Our commitment to inclusivity includes mentoring programmes, accessibility resources, and professional development opportunities to empower and support underrepresented groups.

Manchester Met is a Disability Confident Leader and, under this scheme, aims to offer an interview to disabled people who apply for the role and meet the essential criteria as listed in the attached Job Description for that vacancy.