# Senior Research Scientist, Health Economic Modelling at Precision AQ

> Remote · United Kingdom · Senior · ML / AI · open. Source: https://alderhq.app/jobs/greenhouse%3Aprecisionaq%3A6186283004 (read 2026-11-14).

## Facts (observed)

- Company: [Precision AQ](https://alderhq.app/companies/precision-aq)
- Location text: London, Greater London, United Kingdom; Remote (UK)
- Where it can be done from (inferred): Remote · United Kingdom (evidence: "Remote role open worldwide")
- Posted: 2026-09-11 (63 days ago)
- First seen by alder: 2026-11-02 · last verified: 2026-11-13
- Reposted: 0 times · edited: 1 times
- Apply on the employer's site: https://job-boards.greenhouse.io/precisionaq/jobs/6186283004
- Skills listed (inferred): Python, C++

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (London, n 9): p25 £90k, median £108k, p75 £126k

## Description (the employer's text)

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 simulation-based cost-effectiveness 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
- Experience with data analysis and statistical methodologies in the context of HTA, JCA and or regulatory submission, e.g., survival analysis, indirect treatment comparison
- Understanding of HTA and/or regulatory reimbursement mechanisms
- 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

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Aprecisionaq%3A6186283004 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.