Research Fellow (Health Technology Assessment & Modelling)

UNIVERSITY OF SOUTHAMPTON; Southampton; Hybrid; GBP 35,000 - 55,000

Job description

Organisation/Company: UNIVERSITY OF SOUTHAMPTON

Research Field: Economics, Mathematics

Researcher Profile: Recognised Researcher (R2), First Stage Researcher (R1), Established Researcher (R3)

Country: United Kingdom

Application Deadline: 29 Apr 2025 - 00:00 (UTC)

Type of Contract: Other

Job Status: Full-time

Is the job funded through the EU Research Framework Programme? Not funded by a EU programme

Is the Job related to staff position within a Research Infrastructure? No

Offer Description

We are looking for a researcher with exceptional analytical and communication skills to join our team supporting decisions about the effective and cost-effective use of medicines, medical devices, diagnostics, and other services in the NHS. This is a fixed-term position until 31 July 2027.

About Us

The University of Southampton is ranked among the top 1% of universities globally and is one of the UK’s top 15 research-intensive institutions. With a strong international reputation for research, teaching, and enterprise, we are proud holders of an Athena SWAN Silver award.

Part of the Faculty of Medicine, Southampton Health Technology Assessments Centre (SHTAC) is one of eleven Technology Assessment Review (TAR) teams, delivering independent evidence reports for the National Institute for Health and Care Excellence (NICE) alongside an active programme of other research, including cost-effectiveness analysis in the context of clinical trials, evidence synthesis, and decision modelling.

About the role

You will work as part of our health economics and modelling team on projects for NICE. This involves critical appraisal of evidence and industry models, exploration of alternative scenarios and uncertainties, and writing reports for NICE Committees and other stakeholders. You will also contribute to other collaborative research: analysing clinical trial data and developing health economic models.

What we’re looking for:

• A PhD* or equivalent qualification and experience in economics, statistics, operational research or another analytical discipline
• Excellent writing and communication skills
• Advanced knowledge of Microsoft Excel for data analysis, including advanced features in financial, statistical and lookup formulae, and VBA Macros
• Excellent general IT knowledge and skills, including Word, PowerPoint and reference management software (e.g. EndNote)

Experience of the following is useful:

• Statistical / modelling software (STATA, R, winbugs)
• Health economic evaluation and decision modelling
• Medical statistics (survival analysis)
• HTA methods and processes

* Applications will be considered from candidates who are working towards or nearing completion of a relevant PhD qualification. The title of Research Fellow will be applied upon completion of PhD. Prior to the qualification being awarded the title of Senior Research Assistant will be given.

What we can offer you:

Working at SHTAC means you'll have a direct impact on national health services, influencing guidance for health professionals and facilitating patient access to innovative medicines and technologies.

You’ll gain experience in cutting-edge methodologies through the NICE programme, including data analysis from clinical studies, indirect treatment comparisons, network meta-analysis, and model design.

Support is provided to expand your knowledge and develop research interests, funding for relevant training is also available.

Our comprehensive benefits package includes a contributory pension scheme; holiday entitlement of 30 days plus 8 bank holidays and 6 additional holidays (university closure days); subsidised health and fitness facilities; cycle to work scheme; and a range of discounts.

Our hybrid working approach helps you with your work-life balance and offers you the chance to split your time between office and home working.

Interviews are currently expected to be held on the 19th and 20th May 2025.