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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in statistical planning and analysis for oncology clinical programs, utilizing advanced methodologies such as Bayesian approaches and simulations. Proven ability to mentor teams and communicate complex statistical concepts effectively across cross-functional teams.
Highest-signal resume keywords
Advanced Degree In StatisticsStatistical Design And AnalysisBayesian MethodologyStatistical Programming In R And PythonRegulatory Submission Preparation
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 PlanningClinical Trial DesignStatistical AnalysisBayesian MethodologySimulationsData AnalysisStatistical Insight TranslationStatistical Analysis PlansAdaptive Trial DesignsDisease Modelling
Soft Skills
Clear CommunicationOrganizational SkillsTime ManagementMentoringCollaboration
Tools & Technologies
RPythonHigh-Performance ComputingSimulation Environments
Certifications & Qualifications
PhD In StatisticsMSc In Biostatistics
Industry Keywords
OncologyClinical DevelopmentPharmaceutical IndustryRegulatory InteractionsClinical Research
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Lead statistical planning and delivery across oncology clinical programs
- Contribute to clinical development plans within oncology
- Work closely with clinical, regulatory, safety, data science and commercial teams
- Design robust clinical trials and analyses that shape development decisions and regulatory strategy
- Drive methodological innovation and mentor colleagues
- Provide statistical support to projects across the oncology pipeline
- Lead statistical design, analysis and interpretation for clinical programs across development phases using approaches such as Bayesian methodology
- Use simulations and advanced statistical methodology to inform trial design and risk assessment
- Review and contribute to statistical analysis plans, protocols and regulatory submissions
- Translate statistical insight into program strategy with cross-functional teams
- Mentor and coach statisticians to build capability and quality
Requirements
What you’ll need- Advanced degree in Statistics, Biostatistics or related quantitative discipline (MSc or equivalent) with significant relevant post-graduate experience in oncology, within the pharmaceutical industry or a clinical research setting
- Proven track record contributing statistical expertise to early and/or late phase clinical development
- Practical experience implementing simulations and statistical methods using R, Python or similar tools
- Clear written and verbal communication skills for explaining methods and results to non-statistical colleagues
- Strong organisation and time management across multiple projects and deadlines
- Preferred: PhD in Statistics, Biostatistics, or closely related field
- Preferred: Experience with Bayesian methods, adaptive trial designs, and advanced modelling
- Preferred: Experience applying statistical methods to disease modelling, high-dimensional data, or real-world evidence
- Preferred: Experience mentoring or leading small technical teams
- Preferred: Experience preparing regulatory documents and interacting with regulators
- Preferred: Comfortable working in high-performance computing or large simulation environments
Benefits
Comp & perks- Competitive salary
- Annual bonus based on company performance
- Healthcare and wellbeing programmes
- Pension plan membership
- Shares and savings programme
- Hybrid working model balancing remote and in-office work