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- Tasks: Lead innovative health economics projects and develop cost-effectiveness models using R.
- Company: Dynamic global organisation with a start-up vibe and a focus on health economics.
- Benefits: Competitive salary, collaborative environment, and opportunities for professional growth.
- Why this job: Join a passionate team making a real impact in healthcare through innovative research.
- Qualifications: Experience in health economics, R programming, and strong analytical skills.
- Other info: Be part of a growing team dedicated to transforming healthcare outcomes.
The predicted salary is between 48000 - 72000 ÂŁ per year.
Senior Research Scientist Health Economics and Decision Modelling
Location
London
Salary
60000 – 80000 a year (s)
Description
Do you consider yourself a self‑starter with a real passion for projects involving innovative methods in health economics and evidence synthesis? Do you love collaborating, moving the ball forward, and rolling up your sleeves? Are you a health economist with a passion for R programming?
If so – we want to talk to you! We are growing and seeking a Senior Research Scientist with experience in building health economic models in R to join our Evidence Synthesis and Decision Modelling team. You will collaborate with a highly specialized team of health economists, statisticians and researchers in global, methodologically innovative projects for our pharma and biotech clients.
Why join us?
- Innovative Culture: Experience the excitement of a start‑up within a well‑funded, established global organization.
- Passionate Team: Work with a team that has a real passion for Health Economics and Outcomes Research (HEOR) and prides itself on being visionary leaders in the field.
- Growth Opportunities: Be part of a growing team that values collaboration and making a real difference in healthcare.
About you
- Experienced Health Economist: You have a background in health economics, statistics or a related field, HEOR experience, and a solid understanding of the pharmaceutical industry and drug reimbursement processes. You can interpret results of clinical and health economic studies independently, and lead the implementation of simulation‑based cost‑effectiveness analyses in R and Excel/VBA.
- Modelling Research Experience: You have experience planning, programming and reporting R‑based and Excel‑based cost‑effectiveness simulation models and applied knowledge of statistical methods in health economics. You can evaluate studies to identify key results and…
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Senior Research Scientist Health Economics and Decision Modelling employer: Promote Project
Contact Detail:
Promote Project Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Research Scientist Health Economics and Decision Modelling
✨Tip Number 1
Network like a pro! Reach out to your connections in the health economics field, attend relevant events, and engage with professionals on platforms like LinkedIn. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your R programming projects and health economic models. When you get the chance to chat with potential employers, let them see your work in action – it’ll make you stand out from the crowd.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by rehearsing common questions related to health economics and decision modelling. We suggest doing mock interviews with friends or colleagues to boost your confidence and refine your answers.
✨Tip Number 4
Apply through our website! We’re always on the lookout for passionate individuals like you. By applying directly, you’ll ensure your application gets the attention it deserves, and you might even get a chance to connect with our team early on.
We think you need these skills to ace Senior Research Scientist Health Economics and Decision Modelling
Some tips for your application 🫡
Show Your Passion: Let your enthusiasm for health economics and innovative methods shine through in your application. We want to see that you’re not just ticking boxes, but genuinely excited about the work we do!
Tailor Your CV: Make sure your CV highlights your experience with R programming and health economic modelling. We love seeing how your background aligns with our needs, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for our team. Share specific examples of your past work and how it relates to the role. We appreciate a personal touch!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our passionate team!
How to prepare for a job interview at Promote Project
✨Know Your R Inside Out
Since the role heavily involves R programming, make sure you brush up on your skills. Be prepared to discuss specific projects where you've used R for health economic modelling. Highlight any innovative methods you've implemented and be ready to solve a coding problem on the spot.
✨Showcase Your Collaborative Spirit
This position values teamwork, so come armed with examples of how you've successfully collaborated with others in past projects. Discuss how you’ve contributed to team success and how you handle differing opinions or challenges within a group setting.
✨Understand the Pharma Landscape
Familiarise yourself with the pharmaceutical industry and drug reimbursement processes. Be ready to discuss recent trends or changes in health economics that could impact decision-making in pharma. This shows you're not just technically skilled but also aware of the broader context.
✨Prepare Thoughtful Questions
Interviews are a two-way street, so prepare insightful questions about the company’s innovative projects and team dynamics. Ask about their approach to evidence synthesis and how they stay ahead in health economics. This demonstrates your genuine interest in the role and the organisation.
