Research Associate

University of Leicester; Leicester; On-site; GBP 60,000 - GBP 80,000; Full time

Job summary

A leading academic institution in Leicester seeks a statistician or epidemiologist to deliver impactful research in diabetes and cardiovascular health. This role offers an excellent opportunity to enhance your academic career, requiring a PhD in a relevant field and strong programming skills in Stata, R, or Python. Successful candidates will engage with major national programmes and contribute to publications. This is a full-time, fixed-term contract until December 2028, with potential for job share.

Benefits

Competitive salary package

Excellent pension scheme

Generous annual leave allowance

Professional development opportunities

Qualifications

• Experience working with large datasets using established statistical methods.
• Strong programming skills in Stata, R, or Python.
• Ability to clean, analyse, and interpret complex data.

Responsibilities

• Deliver high-quality research on lifestyle and cardiometabolic health.
• Engage with stakeholders and contribute to publications.

Skills

Statistical analysis

Data cleaning and interpretation

Programming in Stata, R, or Python

Collaboration

Communication skills

Education

PhD in a relevant discipline

Job description

About the role

This role offers an excellent opportunity for an ambitious statistician or epidemiologist to build a strong academic and research career within a leading centre of excellence in diabetes and cardiovascular disease research. You will join the Leicester Real World Evidence Unit, contributing to high-impact analyses that support major national programmes including the NIHR Biomedical Research Centre, NIHR Applied Research Collaborations (East Midlands), and the British Heart Foundation Centre for Research Excellence. Based in the internationally recognised Diabetes Research Centre, you will deliver high-quality research on lifestyle, cardiometabolic health, multiple long-term conditions, and ethnic health using innovative data-driven approaches.

About you

You will hold, or be close to completing, a PhD in a relevant discipline and have experience working with large datasets using established statistical methods. Strong programming skills in Stata, R or Python, alongside the ability to clean, analyse and interpret complex data, are essential.

You will be an organised and collaborative researcher with excellent communication skills and the confidence to contribute to publications, present findings and engage with stakeholders.

Additional information

Informal enquiries are welcome and should be made to Cameron Razieh on [e-mail]

Applications for job share will be considered.

As part of the University’s ongoing commitment to professional development, this role will also be considered on a seconded basis for existing staff members. Please ensure this is discussed with your line manager prior to applying. More information regarding secondments can be discussed with your line manager.

The University of Leicester has been changing the world, and changing people’s lives, for 100 years. When you join us, you’ll become part of a community of Citizens of Change, which includes not only our staff and our current students but also thousands of Leicester graduates around the world.

As a diverse and forward-thinking employer, we embed the principles of equity, diversity and inclusion into everything we do. That includes not just our core missions of teaching and research, but also our support for staff, students and our local community through our values of Inspiring, Impactful and Inclusive.

We’re committed to the wellbeing of all our staff and to the sustainability of our environment, on our campus and beyond. We offer a competitive salary package, excellent pension scheme and a generous annual leave allowance, along with opportunities to develop your career in a supportive and collaborative environment.

Vacancy terms

Full-time, or job share considered, fixed term contract until 31 December 2028