At a Glance
- Tasks: Lead innovative health economic modelling projects using R and collaborate with a passionate team.
- Company: Join a well-funded global organisation with a start-up vibe.
- Benefits: Competitive salary, growth opportunities, and a collaborative work environment.
- Other info: Dynamic team culture with a focus on learning and sharing knowledge.
- Why this job: Make a real impact in healthcare while working on cutting-edge projects.
- Qualifications: Master’s degree in health economics or statistics and 4+ years of relevant experience.
The predicted salary is between 56700 - 69300 £ per year.
Location: London, Greater London, United Kingdom
Category: Research
Division: Precision AQ
Business Unit: Evidence Solutions
Requisition Number: 7184
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.
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 hesim, shiny, Rcpp R packages
- Experience with Bayesian statistics and advanced modelling 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.
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.
Senior Research Scientist, Health Economic Modelling in London employer: Precision Medicine Group, LLC.
At Precision Medicine Group, LLC., we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel in their roles. As a Senior Project & Portfolio Lead in London, you will benefit from comprehensive professional development opportunities, a supportive team environment, and the chance to make a meaningful impact in the field of healthcare. Our commitment to excellence and employee well-being makes us an exceptional employer for those seeking rewarding careers in evidence synthesis and decision modelling.
Contact Details:
Precision Medicine Group, LLC. Recruitment Team
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We think you need these skills to ace Senior Research Scientist, Health Economic Modelling in London
Some tips for your application 🫡
Highlight Your Research Experience:When applying for a full-time role in scientific research, make sure to emphasise your research experience prominently in your CV. Share specific projects you’ve worked on, the methodologies you used, and any significant findings. If you’ve published papers or presented at conferences, definitely include that too – it shows you’re on it in the academic world!
Tailor Your Cover Letter to the Research Area:Your cover letter should reflect your passion for the specific area of research at Precision Medicine Group, LLC.. Mention relevant experiences that align with the organisation’s goals or projects. This shows that you’ve done your homework and are genuinely interested in the position – plus, it helps us see how you’d fit into the team dynamics.
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How to prepare for a job interview at Precision Medicine Group, LLC.
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In scientific research, it’s crucial to demonstrate your ability to design and conduct experiments. Come armed with examples of past projects where you've developed hypotheses, collected data, and analysed results. Be ready to discuss any specific methodologies or tools you’ve used, like PCR techniques or statistical software.
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