Job Title: Research Assistant in Medical Statistics/Research Associate in Medical Statistics

The University of Sheffield is a remarkable place to work. Our people are at the heart of everything we do. Their diverse backgrounds, abilities and beliefs make Sheffield a world-class university.

We offer a fantastic range of benefits including a highly competitive annual leave entitlement (with the ability to purchase more), a generous pensions scheme, flexible working opportunities, a commitment to your development and wellbeing, a wide range of retail discounts, and much more.

The Clinical Trials Research Unit section in the Division of Population Health based in the School of Medicine and Population Health is seeking to recruit a Research Assistant in Medical Statistics (Grade 6) or Research Associate in Medical Statistics (Grade 7) who has a passion for statistics (and applied research) and a willingness to share their passion, enthusiasm and knowledge with others.

You will have good knowledge of applied statistics and clinical trial methodology. You will have good programming skills and experience of working with complex datasets. You will exhibit a “can do” attitude to new activities knowing your strengths and skills whilst being flexible and able to adapt to change.

You will be able to communicate effectively with non-statisticians, and be able to clearly explain complex statistical concepts in lay terms. You will provide timely and high-quality statistical input and leadership to research projects, including input to the design, analysis, and reporting of studies.

With exceptional interpersonal skills you will relate well to others in the team establishing good working relationships, and provide training to statistical colleagues.

• Undertake the statistical analysis of research projects (primarily randomised controlled trials) in line with pre-defined statistical analysis plans and contribute to their reporting and dissemination, under the supervision of a senior statistician.

• Draft (Grade 7) or contribute to drafting (Grade 6) statistical analysis plans for trials, in line with the analysis outlined in the protocol and grant application, under the supervision of a senior statistician.

• Provide (Grade 7) or assist with providing (Grade 6) high-quality statistical advice and support to multidisciplinary research projects within the Division of Population Health, under the supervision of a senior statistician.

• Write up (Grade 7) or contribute to the writing of (Grade 6) study outputs which will inform academic publications in high-quality journals.

• Develop (Grade 6) or continually update (Grade 7) knowledge and understanding of medical statistics in line with advances in the relevant subject area.

• Attend and participate in relevant department meetings.

• Share knowledge and skills with colleagues.

Teaching

• Contribute to teaching statistics in tutorials to undergraduate and postgraduate students in the School with training provided, as appropriate.

Planning and Organising

• Assist with the high-quality delivery of research studies within agreed timescales.

• Prioritise tasks and allocate time to different studies as appropriate.
• Undertake advance planning to meet deadlines for study milestones and dissemination of results.
• Contribute to the development (Grade 6) or develop (Grade 7) materials for research study meetings as requested.

• Carry out other duties, commensurate with the grade and remit of the post
  
  

• A minimum of 38 days annual leave including bank holiday and closure days (pro rata) with the ability to purchase more.
• Flexible working opportunities, including hybrid working for some roles.
• Generous pension scheme.
• A wide range of discounts and rewards on shopping, eating out and travel.
• A variety of staff networks, providing opportunities for social interaction, peer support and personal development (for example, Race Equality, LGBT+, Women’s and Parent’s networks).
• Recognition Awards to reward staff who go above and beyond in their role.
• A commitment to your development access to learning and mentoring schemes; integrated with our Academic Career Pathways
• A range of generous family-friendly policies
  • paid time off for parenting and caring emergencies
  • access to menopause support in the workplace
  • paid time off and support for fertility treatment
  • and more

Closing Date : 27/11/2026

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