[Hiring] Senior Research Statistician @Precision AQ

Role Description

We are growing and seeking a Senior Research Scientist (Statistician) to join our Evidence Synthesis and Decision Modelling team. You will collaborate with a highly specialized team of statisticians, health economists, and researchers on global projects supporting evidence generation, comparative effectiveness research, health technology assessment (HTA), and decision-making for pharmaceutical and biotechnology clients.

Qualifications

• 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.
• 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.

Requirements

• Experienced Quantitative Researcher: Background in statistics, biostatistics, epidemiology, health economics, data science, or a related quantitative discipline.
• Evidence Synthesis and Statistical Methods Experience: Experience planning, conducting, and reporting analyses that support evidence synthesis and comparative effectiveness research.
• Technical Proficiency: Strong statistical programming skills, particularly in R, and experience developing reproducible analytical workflows.
• Deliverable Creation: Contribute to client-ready deliverables including analysis plans, technical reports, presentations, manuscripts, and conference materials.

Key Responsibilities

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

Helpful Experience and Competencies

• Knowledge of indirect treatment comparison methodologies such as network meta-analysis (NMA), matching-adjusted indirect comparison (MAIC), simulated treatment comparison (STC), or similar approaches.
• Experience with external control arm (ECA) analyses.
• Experience with 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.

Company Description