Hybrid Research Assistant/Associate, Medical Statistics (Trials)

Dunhillmedical; Sheffield; Hybrid; GBP 33,000 - 52,000; Full time

Benefits offered by this job

Annual leave benefit

Generous pension scheme

Flexible working opportunities

Staff discounts

Job summary

The University of Sheffield is seeking a Research Assistant in Medical Statistics (Grade 6) or a Research Associate in Medical Statistics (Grade 7) to join the CTRU in the Division of Population Health. You will contribute to statistical analyses, planning, and reporting for clinical trials, working with a collaborative team of researchers.

Applicants should have robust programming skills (Stata or R), strong knowledge of trial methodology, and the ability to communicate complex statistical

Qualifications

• Undergraduate/MSc with substantial statistical content.
• Experience with randomised controlled trials.
• Ability to explain complex statistics clearly to non-specialists.

Responsibilities

• Perform statistical analyses for randomised controlled trials per predefined SAPs, under supervision.
• Draft or contribute to drafting statistical analysis plans.
• Provide high-quality statistical advice to multidisciplinary projects under supervision.
• Write up study outputs for academic publications.
• Develop knowledge of medical statistics in line with advances in the field.
• Attend department meetings and share knowledge with colleagues.

Skills

Statistical programming (Stata or R)

Applied statistics

Clinical trial methodology

Communicating with non-statisticians

Leadership in research projects

Education

Undergraduate and MSc qualification in statistics or related field

Tools

Stata

R

Job description

The University of Sheffield is seeking a Research Assistant in Medical Statistics (Grade 6) or a Research Associate in Medical Statistics (Grade 7) to join the CTRU in the Division of Population Health. You will contribute to statistical analyses, planning, and reporting for clinical trials, working with a collaborative team of researchers.

Applicants should have robust programming skills (Stata or R), strong knowledge of trial methodology, and the ability to communicate complex statistical