Research Assistant in Medical Statistics/Research Associate in Medical Statistics

Overview

The University of Sheffield is seeking a Research Assistant in Medical Statistics at Grade 6 or a Research Associate in Medical Statistics at Grade 7. This position is situated within the Clinical Trials Research Unit section of the Division of Population Health inside the School of Medicine and Population Health. The work arrangement for this role is hybrid, and the employment is offered on a full-time, fixed-term contract basis.

Who can apply

Candidates must have a passion for statistics and applied research, along with a willingness to share their knowledge, enthusiasm, and passion with others. Applicants need to possess good knowledge of applied statistics and clinical trial methodology, alongside strong programming skills and experience working with complex datasets. Candidates should approach new activities with a positive attitude, understanding their own skills and strengths while remaining flexible and adaptable to change. Additionally, applicants must be able to communicate effectively with non-statisticians and explain complex statistical concepts in plain terms, while also possessing exceptional interpersonal skills to build good working relationships within the team.

What you get

The salary for this position ranges from £32,722 to £47,389 per annum, with the potential to progress to £51,753 per annum through sustained exceptional contribution. The University of Sheffield provides a range of benefits, which include a competitive annual leave entitlement with the option to purchase additional leave, a generous pension scheme, and flexible working opportunities. Staff also receive a commitment to their wellbeing and professional development, alongside various retail discounts.

Requirements

The role requires providing timely, high-quality statistical input and leadership to research projects, including contributing to the design, analysis, and reporting of studies. Responsibilities also include training statistical colleagues and relating well to other members of the team.

Key dates

The closing date for applications is 2026-11-27.