Lead statistical programming for real-world evidence and epidemiology studies: prepare and link RWD (claims/EHR), implement analytic plans, conduct regression and survival analyses, produce tables/figures, liaise with vendors and stakeholders, and support study reports and presentations.
You will contribute by:
- Providing support to the Epidemiology team by preparing Real World data, advising on data analytic strategies, and supporting stakeholders in various epidemiology analytic activities
- Programming and conducting statistical analysis under the direction and supervision of epidemiologists/statisticians including data coding, creation of algorithms, linkage of datasets, and use of statistical packages or platforms
- Supporting statistical programming to generate innovative means of data standardization, visualization, and reporting of observational data
- Supporting Medical Affairs (e.g. observational studies leveraging RWD); Global Patient Safety and Risk Management (e.g., analysis to obtain background rates) for the development of regulatory/safety documents, and Clinical Development (e.g.; assessment of patient populations/ protocol feasibility)
- The position will partner with Epidemiologists to manage relationships with internal and external stakeholders
- Being able to prioritize and manage work across multiple projects and stakeholders
- Providing strong communication to ensure successful and timely project delivery
- Solving technical problems with experience and expertise
Summary of Key Responsibilities:
- Assist in development of study protocols and analysis plans leveraging large RWD sources (Claims and/or EHR)
- Liaise with data vendors to obtain relevant data extracts for research studies consistent with study protocols
- Create analytical databases from data extracts to facilitate conduct of data analyses
- Conduct analyses consistent with methods set forth in study protocols and analysis plans
- Produce tables and figures for discussions with other investigators, clients, and for study reports
- Present results internally and to clients
- Assist in the preparation of study reports and other deliverables
- May have supervisory responsibilities in the future
What we’re looking for:
- Master’s degree or PhD in related field (epidemiology, biostatistics, statistics, bioinformatics, economics) and 5+ years of experience conducting RWE analytics for pharma industry, CRO, or academic institution
- Intermediate to expert level proficiency in SQL is a must. In addition, SAS or R proficiency is required
- Deep expertise analyzing RWE data sources such as Optum (Clinformatics Datamart® and Market Clarity), Truveta and UK Biobank. Experience analyzing clinical trial and/or registry data is desirable
- Familiarity with relational databases and proficient understanding of claims and ancillary file layouts
- Experience with applied statistics including regression analysis (OLS, longitudinal, logistic, Cox, GLM/GEE), survival analyses (Kaplan-Meier, cumulative incidence, accelerated failure time models), and propensity weighting
- Excellent project management skills; can prioritize multiple tasks and goals to ensure timely completion
- Confident and competent when interacting with internal and external stakeholders
- Strong written/verbal communication skills. Highly effective at summarizing and presenting key considerations and evidence
Cytel Vancouver, British Columbia, CAN Office
Vancouver, Canada
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