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For Companies At a Glance
- Tasks: Develop decision-analytic models for cost-effectiveness analysis in health economics.
- Company: The University of Manchester, a leader in research and innovation.
- Benefits: Market-leading pension, excellent health services, generous leave, and festive closures.
- Other info: Flexible working options and a supportive, inclusive environment.
- Why this job: Make a real impact in health economics and work on exciting projects.
- Qualifications: Experience in health economics and strong analytical skills.
The predicted salary is between 37000 - 44000 £ per year.
hackajob is collaborating with The University of Manchester to connect them with exceptional professionals for this role. One position is available for a Research Associate in Health Economics. The spine point awarded will depend on previous experience.
The successful applicant will primarily work with Professor Katherine Payne, Dr Alireza Mahboub-Ahari (Research Fellow in Health Economics), and Dr Alex Thompson (Senior Lecturer in Health Economics). The health economist will be expected to work on projects with a focus on developing decision-analytic models for cost-effectiveness analysis. An initial project will focus on a programme of work evaluating the economics of pharmacogenetics as part of the NHS Genomics Network of Excellence in Pharmacogenetics and Medicine Optimisation. The applicant may also work on other projects in different topic areas.
What You Will Get In Return
- Fantastic market leading Pension scheme
- Excellent employee health and wellbeing services including an Employee Assistance Programme
- Exceptional starting annual leave entitlement, plus bank holidays
- Additional paid closure over the Christmas period
- Local and national discounts at a range of major retailers
Equal Opportunities
As an equal opportunities employer we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit. Our University is positive about flexible working – you can find out more here. Hybrid working arrangements may be considered.
Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies. Any recruitment enquiries from recruitment agencies should be directed to recruitmentservices.people@manchester.ac.uk. Any CVs submitted by a recruitment agency will be considered a gift.
Enquiries About The Vacancy, Shortlisting And Interviews
Name: Katherine Payne
Email: Katherine.Payne@manchester.ac.uk
General Enquiries Email: recruitmentservices.people@manchester.ac.uk
This vacancy will close for applications at midnight on the closing date. Please see the link below for the Further Particulars document which contains the person specification criteria.
Research Associate in Health Economics employer: hackajob
Contact Detail:
hackajob Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Associate in Health Economics
✨Tip Number 1
Network like a pro! Reach out to current or former employees at The University of Manchester on LinkedIn. A friendly chat can give us insights into the team and projects, plus it shows our genuine interest in the role.
✨Tip Number 2
Prepare for the interview by diving deep into health economics topics, especially decision-analytic models. We should be ready to discuss how our skills align with their projects, particularly around pharmacogenetics.
✨Tip Number 3
Practice common interview questions with a mate. We can even throw in some technical questions related to cost-effectiveness analysis. The more we rehearse, the more confident we'll feel when it's showtime!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets seen. Plus, we can tailor our submission to highlight how we fit the role perfectly.
We think you need these skills to ace Research Associate in Health Economics
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your application to highlight your experience in health economics and decision-analytic models. We want to see how your skills align with the projects you'll be working on, especially in pharmacogenetics.
Showcase Relevant Experience: When detailing your previous roles, focus on any relevant projects or research you've done in health economics. We love seeing concrete examples of your work that demonstrate your expertise and passion for the field.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and ensure your key points stand out. This will help us quickly see why you’re a great fit for the role.
Apply Through Our Website: Don’t forget to submit your application through our official website! It’s the best way for us to receive your details and ensures you’re considered for the position. Plus, it makes the whole process smoother for everyone involved.
How to prepare for a job interview at hackajob
✨Know Your Health Economics
Make sure you brush up on the latest trends and methodologies in health economics, especially decision-analytic models. Familiarise yourself with pharmacogenetics and its implications for cost-effectiveness analysis, as this will likely come up during your chat with Professor Katherine Payne and the team.
✨Prepare Your Questions
Interviews are a two-way street! Think of insightful questions to ask about the projects you'll be working on, particularly the NHS Genomics Network. This shows your genuine interest and helps you gauge if the role is right for you.
✨Showcase Relevant Experience
Be ready to discuss your previous work or projects that relate to health economics. Highlight any experience with cost-effectiveness analysis or similar research, as this will demonstrate your capability and fit for the role.
✨Practice Makes Perfect
Run through common interview questions with a friend or mentor. Focus on articulating your thoughts clearly and confidently, especially when discussing complex topics like economic modelling. The more comfortable you are, the better you'll perform!