Job Vacancy at ScHARR - Research Associate / Research Fellow

We are currently advertising for a Research Associate or a Research Fellow with a strong background in statistics and/or econometrics, preferably in the area of causal inference, with an interest in evaluating the efficacy and comparative effectiveness of care technologies/services. 

Regent Court, the home of ScHARR

Reference Number: UOS035218

Salary: Grade 7 / Grade 8

Details: Full-time and fixed-term for 2 years

Closing Date: Wednesday 30 November 2022 

The vacancy and ATJ can be found here.

The School of Health and Related Research (ScHARR) is looking to recruit an early or mid-career researcher with strong background in statistics and/or econometrics, preferably in the area of causal inference, with an interest in evaluating the efficacy and comparative effectiveness of care technologies/services, to join the Health Economic and Decision Science (HEDS) section.

You will mainly work in conjunction with the ScHARR Knowledge Exchange (KE) team, providing support in the development of non-randomised study designs and associated analyses for the evaluation of care technologies or services. You will also provide statistical and/or econometric support to multi-disciplinary teams as part of other HEDS research and consultancy projects. Work will include the evaluation of new care technologies or services, usually within non-randomised study designs with a focus on the efficacy and/or comparative effectiveness of the care technology. These evaluations could be supported through the use of primary data collection or reliant on existing ‘realworld data’ (RWD) sources.

You should be familiar with methods for estimating comparative effectiveness using nonrandomised data, such as those methods detailed within NICE Technical Support Document 17: https://www.sheffield.ac.uk/sites/default/files/2022-02/TSD17-DSU-Observational-data-FINAL.pdf

You will be encouraged to develop your own methodological research interests that are complementary to those within HEDS and help contribute to Masters level teaching and supervision.

Job vacancy - Research Assistant/Research Associate

We are currently advertising for a Research Assistant/Associate who will work on applied and methodological research projects relating to interventions for obesity and prevention of diabetes and cardiovascular disease. 

ScHARR, Regent Court

Job Reference Number: UOS034891

Job Title: Research Assistant/Research Associate

Contract Type: Fixed-term for 2 years

Faculty: Faculty of Medicine

Department: Health Economics and Decision Science (HEDS), School of Health and Related Research (ScHARR)

Salary: Grade 6: £28,762 - £33,314 per annum pro-rata. Potential to progress to

£36,386 per annum through sustained exceptional contribution.

Grade 7: £35,333 - £43,414 per annum pro-rata. Potential to progress to

£47,423 per annum through sustained exceptional contribution.

Closing Date: 26th October 2022

The vacancy and ATJ can be found can be found here. 

We have an exciting opportunity in the Health Economics and Decision Science (HEDS) section in the School of Health and Related Research (ScHARR)) to join the team at the forefront of development of public health economic modelling and microsimulation.

As a Research Assistant/Associate in Health Economic Modelling, you will work on applied and methodological research projects relating to interventions for obesity and prevention of diabetes and cardiovascular disease.

In addition to working to develop quantitative analyses of obesity interventions, you will contribute to the writing of research and consultancy proposals, and to the dissemination of research findings in peer-reviewed publications, at conferences and to non-academic audiences, as well as to the development and delivery of Masters level teaching, supervision of postgraduate students and the provision of other types of training.

Ideally you should have a track record of publication in peer-reviewed journals and conference presentation. You should have a Masters Degree or equivalent in a numerate subject, for example, mathematics, operational research, statistics or economics.

We are committed to enabling our employees to work in a hybrid model with flexibility over when, where and how to achieve the required outputs, in discussion with your manager.

We are committed to exploring flexible working opportunities which benefit the individual and University. We’re one of the best not-for-profit organisations to work for in the UK. The University’s Total Reward Package includes a competitive salary, a generous Pension Scheme and annual leave entitlement, as well as access to a range of learning and development courses to support your personal and professional development.

We build teams of people from different heritages and lifestyles from across the world, whose talent and contributions complement each other to greatest effect. We believe diversity in all its forms delivers greater impact through research, teaching and student experience.