Senior Research Statistician

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Collaborate with statisticians, health economists, and researchers on global initiatives that support evidence generation, comparative effectiveness research, health technology assessment, and decision-making for clients in the pharmaceutical and biotechnology sectors.

• Lead and execute statistical analyses that bolster evidence generation, comparative effectiveness research, and healthcare decision-making projects.

• Design and implement tailored analytical strategies that meet client objectives and research inquiries.

• Perform statistical analyses and create reproducible analytical workflows utilizing R.

• Oversee analytical workstreams and play a key role in project planning, execution, and quality assurance activities.

• Interpret and convey complex analytical results to both technical and non-technical audiences.

• Assist with HTA, reimbursement, market access, and Joint Clinical Assessment evidence-generation efforts.

• Mentor junior team members and contribute to the development of methodological best practices.

• Participate in the creation of scientific publications, conference presentations, proposals, and thought leadership initiatives.

• Develop client-ready analysis plans, technical reports, presentations, manuscripts, and conference materials.

⛳️ Requirements

• Master’s degree or PhD in Statistics, Biostatistics, Epidemiology, Health Economics, Data Science, or a related quantitative field.

• Approximately 4 years or more of relevant professional experience.

• Proficient R programming skills and a strong background in conducting statistical analyses.

• Experience in applying statistical methods within healthcare, outcomes research, evidence generation, or similar research domains.

• Familiarity with evidence synthesis and comparative effectiveness research.

• Strong analytical reasoning capabilities and adept problem-solving skills.

• Ability to articulate complex findings in a clear and effective manner.

• Capacity to work both independently and collaboratively within a multidisciplinary team.

• Knowledge of indirect treatment comparison methodologies such as network meta-analysis (NMA), matching-adjusted indirect comparison (MAIC), simulated treatment comparison (STC), or comparable approaches.

• Experience conducting external control arm (ECA) analyses.

• Proficient in survival analysis, time-to-event modeling, or utility and health-related quality of life analyses.

• Experience working with individual patient-level data.

• Understanding of Bayesian and/or frequentist statistical methods.

• Background in supporting HTA, reimbursement, market access, or evidence-generation activities.

• Familiarity with Python or other programming languages.

• Experience in contributing to scientific publications or conference presentations.

• Candidates must possess legal authorization to work in the country of employment without employer sponsorship.

🏝️ Benefits

• Competitive salary and comprehensive benefits package.

• Opportunities for professional development and training.

• Collaborative and inclusive work environment.

• Flexible working arrangements to promote work-life balance.