We are looking for a data analyst to join our team of health economists and HTA consultants specialising in UK Health Technology Assessment (HTA) evidence preparation.
You will play an important role in contributing to health economic projects including analysing data inputs to economic models of the cost-effectiveness of new treatments. The role would include supporting the Senior Health Economists at Tolley, working with external statistical experts, analysing clinical trial and real-world data to support health economic models, and assisting the generation of evidence for HTA submissions. Typical projects may involve analysing patient-level quality of life data to estimate health state utilities for economic models, conducting survival analysis using patient-level or digitised data, and conducting treatment comparisons based on Cox regression or other methods. You may be required to support the clinical team on data analysis plans for data extracted from systematic literature reviews. Direct involvement in building or adapting economic models is also a possibility. Outside core HTA work, we support clients with evidence generation activities including vignette-based utility studies, patient preference studies and expert elicitation, as well as presenting work through conference presentations, posters and academic manuscripts.
We work in a wide variety of disease areas from oncology to rare diseases with varying levels of evidence available, and encourage our clients to plan for evidence needs early. You should have a genuine passion for exploring and staying current with quantitative data analytical approaches to advise clients on optimal and feasible approaches, as well as being able to communicate complex ideas effectively to non-technical audiences. Tolley fosters a people-centred culture and the position would suit someone who likes working in a relatively smaller company set up with a team focussed philosophy.
Location: Buxton, Derbyshire (between Manchester and Sheffield). A flexible working policy is in place with all staff spending a proportion of time in the office and at home. Depending on your level and experience, alternative arrangements for remote working can be made.
Salary: Competitive (depending on previous experience within a similar role in academia, pharma or consultancy).
Benefits: Percentage-matched, opt-in workplace pension contribution with a top three pension provider, discretionary end-of-year bonus (based on a share of the company profits), health cash plan, above average annual leave entitlement plus Bank Holidays, and Summer and Christmas team-building events.
About Tolley
Early HTA preparation ensures a smooth, efficient pathway to launch and reimbursement with activities often focused on either the evidence generation strand or the influencing of the wider environment strand through stakeholder engagement. At Tolley, we focus on the former, the evidence generation, specifically Early Scientific Advice, systematic literature reviews (SLRs), fit-for-purpose cost-effectiveness models and decision-focussed indirect treatment comparisons, and related utility, preference and cost studies. At the same time, we believe that both should be addressed fully by a company to increase the chances of a positive outcome.
At Tolley, we offer clients a high-quality, bespoke service to support their HTA activities, using our experienced in-house team that has a wealth of experience, alongside our external trusted network of experienced independent consultants. As part of a boutique team, you will have autonomy in all aspects of health economics in the projects you lead with encouragement to present your work at international conferences and in peer-reviewed journals as Tolley place emphasis on research and publication.
Responsibilities
Your key responsibility will be performing data analyses of clinical and cost-effectiveness data to inform HTA submissions of new therapies. A knowledge of statistical and health economic methods and approaches used in an HTA context would be beneficial. The role will involve contributing to economic model development and data analysis of inputs to models, and establishing and maintaining links to commercial clients, key stakeholders (including clinicians and patient advocacy groups), the academic community, and HTA bodies.
Requirements
A post-graduate degree (MSc minimum, PhD preferred) in statistics, data science, health economics with a quantitative skills/ mindset) or a related field is required. Applicants should ideally have a minimum of 1-2 years’ experience in data analysis/ health economics beyond academic training: experience in an HEOR consultancy, and/ or working with or within pharma companies, an HTA organisation, or academia in a healthcare setting would be valuable, but is not essential.
You should be proficient in at least one statistical software package (R / STATA / SAS), as well as standard Microsoft Office packages including Excel / VBA, and have excellent oral and written presentation skills. Although it is not a requirement to have worked directly in HTA, applicants should be familiar with the approaches used commonly in the economic evaluation of health technologies, including parametric survival modelling, cox regression and longitudinal analysis. Experience with indirect treatment methods such as network meta-analysis would be beneficial but is not expected. Any previous experience of presentations at conferences, advisory boards/ workshops and a record of publication of abstracts/ posters and manuscripts is also useful.
You should also be comfortable working in a smaller company set up, where the focus is on team work, but without micro-management so prepared to use your own initiative by working independently as part of the team.
How to apply
If you are interested or would like to find out more, we encourage an informal Microsoft Teams meeting so we can get to know each other, prior to you submitting your CV with an email on why you would fit this role.
Please contact the Tolley offices on +44 (0) 1298 74855 or send an email to Marie Hutchinson (info@tolleyhta.com).
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