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 required

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

Solid written/verbal communication skills. Highly effective at summarizing and presenting key considerations and evidence

Cytel Inc. is an Equal Employment / Affi--

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📌 Senior Programmer FSP - RWD/EPI (Ontario)
🏢 Cytel
📍 Ontario