At a Glance
- Tasks: Analyse data to support health economic projects and contribute to HTA submissions.
- Company: Join a dynamic team at Tolley, specialising in health economics and HTA.
- Benefits: Enjoy competitive salary, flexible working, and generous annual leave.
- Why this job: Make a real impact in healthcare by analysing data for new treatments.
- Qualifications: Post-graduate degree in statistics or health economics; experience in data analysis preferred.
- Other info: Collaborative culture with opportunities for professional growth and conference presentations.
The predicted salary is between 36000 - 60000 Β£ per year.
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
- 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 places 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 yearsβ 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 teamwork, 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).
Data Analyst/Health Economist employer: Tolley Health Economics Ltd
Contact Detail:
Tolley Health Economics Ltd Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Data Analyst/Health Economist
β¨Tip Number 1
Network like a pro! Reach out to professionals in the health economics field on LinkedIn or at conferences. A friendly chat can lead to opportunities that arenβt even advertised yet.
β¨Tip Number 2
Show off your skills! Prepare a portfolio of your data analysis projects, especially those related to health economics. This will give potential employers a taste of what you can bring to the table.
β¨Tip Number 3
Donβt just apply; engage! When you find a role that excites you, reach out directly to the hiring manager or team members. Ask questions about the projects theyβre working on and express your enthusiasm.
β¨Tip Number 4
Keep learning! Stay updated with the latest trends in health technology assessment and data analysis. Share your insights on social media or in discussions to showcase your passion and knowledge.
We think you need these skills to ace Data Analyst/Health Economist
Some tips for your application π«‘
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Analyst/Health Economist role. Highlight any relevant projects or experiences in health economics, data analysis, or HTA to show us youβre a great fit!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about health economics and how your background aligns with our work at Tolley. Keep it engaging and personal β we want to get to know you!
Showcase Your Technical Skills: Since weβre looking for someone with strong analytical skills, be sure to mention your proficiency in statistical software like R, STATA, or SAS. If youβve worked on any relevant projects, donβt hesitate to share those details!
Reach Out for an Informal Chat: Before you hit send on your application, why not have a quick chat with us? Weβd love to get to know you better and answer any questions you might have. Itβs a great way to make a good impression!
How to prepare for a job interview at Tolley Health Economics Ltd
β¨Know Your Data Inside Out
Make sure youβre familiar with the types of data youβll be working with, especially clinical trial and real-world data. Brush up on your statistical methods like Cox regression and survival analysis, as these will likely come up in conversation.
β¨Showcase Your Communication Skills
Since you'll need to explain complex ideas to non-technical audiences, practice how you would present your findings. Think about how you can simplify technical jargon into relatable terms, and maybe even prepare a mini-presentation to demonstrate your skills.
β¨Research Tolley and Their Projects
Dive into Tolleyβs past projects and understand their approach to HTA submissions. Being able to discuss specific examples or express genuine interest in their work will show that youβre not just looking for any job, but that youβre keen on being part of their team.
β¨Prepare Questions That Matter
Think of insightful questions to ask during the interview. This could be about their team culture, ongoing projects, or how they support professional development. It shows youβre engaged and serious about the role, plus it helps you gauge if itβs the right fit for you.