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Senior Research Statistician
PRECISIONvalue. Collaborate with statisticians, health economists, and researchers on global projects supporting evidence generation, comparative effectiveness research, health technology assessment, and decision-making for pharmaceutical and biotechnology clients .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in statistical analyses and evidence generation within healthcare, utilizing R programming and advanced methodologies. Capable of effectively communicating complex findings to diverse audiences while leading analytical projects and mentoring team members.
Highest-signal resume keywords
R ProgrammingStatistical AnalysisComparative Effectiveness ResearchHealth Technology AssessmentEvidence Generation
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Statistical MethodsAnalytical WorkflowsSurvival AnalysisBayesian MethodsFrequentist MethodsNetwork Meta-AnalysisMatching-Adjusted Indirect ComparisonSimulated Treatment ComparisonIndividual Patient Level DataEvidence Synthesis
Soft Skills
Analytical ReasoningProblem-SolvingCommunication SkillsTeam CollaborationMentoring
Tools & Technologies
RPythonStatistical Software
Industry Keywords
Health EconomicsBiostatisticsEpidemiologyMarket AccessReimbursementJoint Clinical AssessmentScientific PublicationsConference Presentations
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Collaborate with statisticians, health economists, and researchers on global projects supporting evidence generation, comparative effectiveness research, health technology assessment, and decision-making for pharmaceutical and biotechnology clients
- Lead and deliver statistical analyses supporting evidence generation, comparative effectiveness research, and healthcare decision-making projects
- Design and implement fit-for-purpose analytical approaches addressing 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
- Create client-ready analysis plans, technical reports, presentations, manuscripts, and conference materials
Requirements
What you’ll need- 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
- 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
- Candidates must be legally authorized to work in the country of employment without employer sponsorship