Senior Research Statistician (Healthcare Evidence Synthesis)

Location: Remote, United Kingdom; other locations in Europe. Candidates must be legally authorized to work in the country of employment without employer sponsorship.

Company

hirify.global supports pharmaceutical and biotechnology clients through evidence generation, comparative effectiveness research, health technology assessment, and healthcare decision-making projects.

What you will do

• Lead and deliver statistical analyses supporting evidence generation, comparative effectiveness research, and healthcare decision-making.
• Design and implement fit-for-purpose analytical approaches addressing client objectives and research questions.
• Conduct analyses and develop reproducible analytical workflows using R.
• Lead analytical workstreams and contribute to project planning, delivery, and quality assurance.
• Interpret and communicate complex findings to technical and non-technical audiences.
• Support HTA, reimbursement, market access, and Joint Clinical Assessment activities; mentor junior team members and contribute to publications, conferences, proposals, and methodological best practices.

Requirements

• Master’s degree or PhD in Statistics, Biostatistics, Epidemiology, Health Economics, Data Science, or a related quantitative discipline.
• Approximately 4 years or more of relevant professional experience applying quantitative research methods.
• Strong R programming skills and experience conducting statistical analyses.
• Experience applying statistical methods to healthcare, outcomes research, evidence generation, or related research areas.
• Experience with evidence synthesis and comparative effectiveness research.
• Strong analytical reasoning and problem-solving skills.
• Ability to communicate complex findings clearly and effectively.
• Ability to work independently and as part of a multidisciplinary team.

Nice to have

• Knowledge of indirect treatment comparison methods, including network meta-analysis, matching-adjusted indirect comparison, simulated treatment comparison, or similar approaches.
• Experience with external control arm analyses; survival analysis, time-to-event modelling, or utility and health-related quality of life analyses.
• Experience working with individual patient-level data.
• Understanding of Bayesian and/or frequentist statistical methods.
• Experience supporting HTA, reimbursement, market access, or evidence-generation activities.
• Familiarity with Python or other programming languages.
• Experience contributing to scientific publications or conference presentations.

Culture & Benefits

• Remote role based in the United Kingdom, with Europe listed as another location.
• Collaboration with statisticians, health economists, and researchers on global pharmaceutical and biotechnology projects.
• Work in a multidisciplinary environment focused on evidence generation and healthcare decision-making.
• Employment requires existing legal authorization in the country of employment; employer sponsorship is not provided.