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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in delivering evidence-based statistical solutions, conducting complex analyses such as meta-analyses and survival analysis, and effectively communicating results to clients. Proficient in using statistical software like R and Stata, with a strong background in analyzing patient-level data and real-world datasets.
Highest-signal resume keywords
Statistical AnalysisMeta-AnalysisPatient-Level Data AnalysisR ProgrammingClient-Facing Capability
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 SolutionsSurvival AnalysisGeneralised Linear ModelsMultilevel ModelsPost-Hoc Analyses
Soft Skills
Collaborative WorkingClient Communication
Tools & Technologies
RStata
Certifications & Qualifications
Post-Graduate Degree in Medical Statistics
Industry Keywords
ConsultancyNHSPharmaceuticalsReal-World DatasetsHESCPRD
About the role
Key responsibilities & impact- Deliver high-quality, evidence-based statistical solutions for clients
- Conduct indirect treatment comparison feasibility assessments and prepare statistical analysis plans
- Perform meta-analyses, network meta-analyses, and population-adjusted indirect comparisons
- Analyse patient-level data, including post-hoc analyses of clinical trial and observational data
- Conduct quality assurance reviews of statistical models
- Participate in client meetings and provide updates on methods, progress, and results
- Prepare and present reports to clients, including publications for conferences and peer-reviewed journals
- Liaise with clients within projects with support from a project lead
- Work collaboratively with project managers, systematic review analysts, and health economics teams
Requirements
What you’ll need- A post-graduate degree in medical statistics, statistics or similar
- Experienced in using statistical software packages and willingness to learn other languages to suit client needs (e.g., R, Stata)
- Experience working with patient-level data or large individual-level data sets
- Ability to implement survival analysis, generalised linear models, and multilevel models
- Ability to draw inference between parameters and clinical endpoints
- At least 2 years’ experience undertaking statistical analyses within a consultancy, academia, the NHS, or a pharmaceuticals or devices company
- Familiarity with analysing real-world datasets used within the UK (e.g., HES, CPRD)
- Client-facing capability and collaborative working with project managers, systematic review analysts, and health economics teams
Benefits
Comp & perks- 25 days annual leave plus UK bank holidays
- Option to buy additional annual leave
- Discretionary bonus scheme
- Opt-in employee health insurance
- Employee life insurance
- Cycle to work scheme
- Above-average employer pension contributions
- Flexible start and finish times around core company hours of 10 am to 4 pm
- Hybrid working
- Professional development opportunities
- Support for employee well-being
- Opportunities for growth
- Employee ideas and contributions encouraged regardless of seniority