Principal Statistical Programmer

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 standardisation, visualisation, 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 prioritise 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 analysing RWE data sources such as Optum (Clinformatics Datamart® and Market Clarity), Truveta and UK Biobank. Experience analysing 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 prioritise 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 summarising and presenting key considerations and evidence Cytel Inc. is an Equal Employment / Aff… #J-18808-Ljbffr