Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join a dynamic team to develop innovative health economic models using R.
- Company: Be part of a well-funded global organisation with a start-up vibe.
- Benefits: Enjoy competitive salary, growth opportunities, and a passionate team.
- Why this job: Make a real impact in healthcare while collaborating on exciting projects.
- Qualifications: Master’s degree in health economics or statistics and strong R programming skills.
- Other info: Work in a diverse environment with excellent career advancement potential.
The predicted salary is between 36000 - 60000 £ per year.
Senior Research Scientist, Health Economics and Decision Modelling
4 days ago Be among the first 25 applicants
Get AI-powered advice on this job and more exclusive features.
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 result drivers, assess data or methodological gaps and suggest solutions.
- Deliverable Creation: You can program independently economic models in R and Excel/VBA from scratch, and contribute to the development of client-ready study deliverables including model conceptualization and analysis plans, interpretations of model results and sensitivity analyses, and technical reports.
- Technical Proficiency: You demonstrate passion and expertise in R programming applied to health economic simulation modelling, as well as data analysis and visualization. You are proficient with collaborative versioning software (i.e., git/GitHub). You are an expert in Excel and Visual Basic for Applications (VBA) programming. You are skilled in preparing written documentation and presenting results using Microsoft Word and PowerPoint.
- Effective Communication: You can present progress and results clearly to both technical and non-technical audiences, either internally or externally.
- Project and Time Management: You ensure timely delivery of project components, can work effectively individually and as part of a diverse team and have excellent independent organizational and time management skills.
Required Experience And Competencies
- Master’s degree in health economics or statistics, or a related discipline
- Minimum of 4 years of relevant professional experience, ideally in a consulting environment serving biotech, pharmaceutical or healthcare clients
- Proven R programming skills, experience with programming cost-effectiveness simulation models in R
- Understanding of and experience in the application of statistical methods in health economics, e.g., parametric survival regression model extrapolation, network meta-analyses, probabilistic sensitivity analyses
- Willingness and desire to learn and share knowledge
- Strong multi-tasking and time management skills
- Highly developed analytical reasoning and problem-solving skills
- Ability to work effectively individually and as part of a diverse team
Helpful Experience And Competencies
- Experience with Python, C++ or other programming languages
- Experience with the hesim, shiny, Rcpp R packages
- Experience with Bayesian statistics and advanced modeling techniques
- Knowledge and experience in conducting indirect treatment comparisons such as network meta-analysis, matching-adjusted indirect comparison, and simulated treatment comparison
Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice.
Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law.
If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at QuestionForHR@precisionmedicinegrp.com.
It has come to our attention that some individuals or organizations are reaching out to job seekers and posing as potential employers presenting enticing employment offers. We want to emphasize that these offers are not associated with our company and may be fraudulent in nature. Please note that our organization will not extend a job offer without prior communication with our recruiting team, hiring managers and a formal interview process.
Seniority level
- Mid-Senior level
Employment type
- Full-time
Job function
- Other
Industries
- Technology, Information and Internet
Referrals increase your chances of interviewing at Precision AQ by 2x
Get notified about new Senior Research Scientist jobs in United Kingdom.
Senior Scientist, Scientific Communications
London, England, United Kingdom 1 week ago
Senior Research Scientist, Health Economics and Decision Modelling
London, England, United Kingdom 1 week ago
London, England, United Kingdom 5 days ago
London, England, United Kingdom 1 week ago
Northern Ireland, United Kingdom 23 hours ago
Senior Machine Learning Researcher – Handwriting
London, England, United Kingdom 2 months ago
Senior Rust Developer – Protocol Researcher (External)
London, England, United Kingdom 9 months ago
Senior HFT Quantitative Trader/Researcher – Digital Assets (EU Remote)
City Of London, England, United Kingdom 2 weeks ago
London, England, United Kingdom 1 week ago
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr
Senior Research Scientist, Health Economics and Decision Modelling employer: Precision AQ
Contact Detail:
Precision AQ 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 and let them know you're on the lookout for opportunities. You never know who might have the inside scoop on a job that’s perfect for you.
✨Tip Number 2
Prepare for interviews by brushing up on your R programming skills and health economic models. Be ready to discuss your past projects and how they relate to the role. We want to see your passion shine through!
✨Tip Number 3
Don’t just apply and wait! Follow up on your applications with a friendly email. It shows initiative and keeps you on their radar. Plus, it gives you a chance to reiterate your enthusiasm for the role.
✨Tip Number 4
Check out our website for more roles and resources. We’re all about helping you land that dream job, so take advantage of everything we offer to boost your chances!
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 R programming shine through in your application. We want to see that you’re not just qualified, but genuinely excited about the work we do!
Tailor Your CV: Make sure your CV highlights relevant experience in health economics and decision modelling. We love seeing how your skills align with our needs, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re the perfect fit for our team. Share specific examples of your past projects and how they relate to the role. This is your chance to stand out!
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 innovative team!
How to prepare for a job interview at Precision AQ
✨Know Your R Programming Inside Out
Make sure you brush up on your R programming skills before the interview. Be ready to discuss specific projects where you've built health economic models using R, and be prepared to explain your thought process and the challenges you faced.
✨Showcase Your Health Economics Knowledge
Familiarise yourself with the latest trends in health economics and decision modelling. Be ready to discuss how you've applied statistical methods in your previous work, especially in cost-effectiveness analyses. This will show that you're not just knowledgeable but also passionate about the field.
✨Prepare for Technical Questions
Expect technical questions related to health economics and modelling. Review concepts like probabilistic sensitivity analyses and network meta-analyses. Practising how to explain these concepts clearly will help you communicate effectively during the interview.
✨Demonstrate Your Collaborative Spirit
Since this role involves working with a diverse team, be prepared to share examples of how you've successfully collaborated in the past. Highlight your ability to communicate complex ideas to both technical and non-technical audiences, as this is crucial for the role.
