Build expert capabilities in prospective ECAs and hybrid controls combining retrospective and prospective real world-data with single arm and randomized controlled trials.
Provide expertise for developing statistical methodologies that mitigate selection, confounding, and measurement bias in external control and hybrid control studies.
Guide and mentor internal teams on novel methodologies, best statistical practices, and innovative clinical trial designs.
Collaborate with Clinical Science and Commercial teams for innovative clinical development projects.
Define data requirements and data collections processes to enable next generation ECAs.
Lead or support research study design and end-to-end delivery, including study scoping and development of study protocols.
Co-author communications of study results in peer-reviewed publications and presentations.

Requirements

5+ years of industry/research experience or equivalent experience.
PhD in Statistics, or Biostatistics, or Related Field.
Expert knowledge of theoretical and applied statistics, including inferential methods for time-to-event analysis, survival analysis, and causal inference methods.
Expertise in design and analysis of externally controlled studies and hybrid controls including propensity score methods, endpoint measurement bias correction methods, and external patient borrowing bayesian and frequentest methods.
Fundamental understanding of clinical- and efficacy endpoints used in oncology development.
Experience collaborating with clinical-, biomarker-, and imaging scientists, to apply statistical methods to oncology drug development.
Extensive experience with programming in R and/or Python.

Benefits

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Applicant Tracking System Keywords

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Hard Skills & Tools

statistical methodologiesinferential methodstime-to-event analysissurvival analysiscausal inference methodspropensity score methodsendpoint measurement bias correction methodsexternal patient borrowingbayesian methodsfrequentist methods

Soft Skills

mentoringcollaborationcommunication

Certifications

PhD in StatisticsPhD in Biostatistics