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Research Associate in Statistics
University of Sheffield
The Design, Trials and Statistics section, in the School of Health and Related Research is now seeking to recruit a Research Associate in Statistics who has a passion for statistics (and applied research) and a willingness to share their passion, enthusiasm and knowledge with others.
You will have a good working knowledge of applied statistics and basic statistical theory, with the ability to learn and develop new skills. You will exhibit a “can do” attitude to new activities, knowing your strengths and having the ability to work flexibly and adapt to change.
You will need good honours degree in a relevant subject (e.g. Mathematics or Statistics); have an MSc in a relevant discipline; and a PhD (or be near completion) in statistics or equivalent experience. Expertise in statistical procedures/programming including familiarity with at least one statistical software package e.g. SAS, SPSS, Stata or R is also essential.
Your excellent communication and presentational skills will enable you to put across complex and technical ideas to a non-statistical/mathematical audience (particularly clinicians and allied health professionals) in an engaging manner. With exceptional interpersonal skills you will relate well to others in the team, establishing good working relationships across teaching and research.
You will join an innovative team, of 14 statisticians, providing timely, well-received and high quality statistical input to a variety of research projects, including: the design, analysis, and reporting of randomised trials, feasibility and observational studies.
You will also be expected to be involved in other activities including: teaching statistics in tutorials for undergraduate and postgraduate students and attending internal and external meetings.
This post is full-time and fixed-term for 18 months.
You can view the supporting documentation by clicking on About the Job and About the University located near the top of your screen.
Main Duties and Responsibilities
Conduct high quality research by analysing data from research projects and disseminate findings by writing papers and abstracts and by presenting work at conferences and seminars.
Provide high-quality statistical advice and support to multidisciplinary research projects within the School of Health and Related Research.
Contribute to the development of high quality research bids to evaluate the effectiveness of new health technologies, which is recognised both nationally and internationally.
Contribute to methodological research in the area of medical statistics and in areas relevant to the design, conduct, analysis and reporting of studies to evaluate the effectiveness of new health technologies, which is recognised both nationally and internationally.
Attend and participate in relevant department meetings.
Attend external scientific meetings and national conferences to present research findings.
Continually update knowledge and understanding of medical statistics, and update skills in line with advances in the relevant subject area.
Teach statistics in tutorials to undergraduate and postgraduate students in the School
Contribute to the delivery on the Master of Public Health, MSc in Clinical Research, MSc Statistics with Medical Applications and postgraduate taught programmes in the area of medical statistics.
Carry out course assessment by marking assessments, providing written/oral feedback, as part of formative and summative assessments.
Conduct course evaluation, including facilitating student feedback, reflecting on own teaching design and delivery, and implementing ideas for improving own performance.
Supervise Master’s dissertation research projects.
Contribute to other areas of postgraduate teaching as appropriate.
Act as personal tutor to individual students during their studies.
Administrative responsibilities at both Section and School level, e.g. member of committees representing the Section or ScHARR.
Keep abreast of professional developments.
Any other duties, commensurate with the grade of the post.
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