Principal Statistical Programmer FSP - RWD/EPI

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 activitiesProgramming 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 platformsSupporting statistical programming to generate innovative means of data standardisation, visualisation, and reporting of observational dataSupporting 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 stakeholdersBeing able to prioritise and manage work across multiple projects and stakeholdersProviding strong communication to ensure successful and timely project deliverySolving technical problems with experience and expertiseSummary 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 protocolsCreate analytical databases from data extracts to facilitate conduct of data analysesConduct analyses consistent with methods set forth in study protocols and analysis plansProduce tables and figures for discussions with other investigators, clients, and for study reportsPresent results internally and to clientsAssist in the preparation of study reports and other deliverablesMay have supervisory responsibilities in the futureWhat 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 institutionIntermediate to expert level proficiency in SQL is a must. In addition, SAS or R proficiency is requiredDeep 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 desirableFamiliarity with relational databases and proficient understanding of claims and ancillary file layoutsExperience with applied statistics including regression analysis (OLS, longitudinal, logistic, Cox, GLM/GEE), survival analyses (Kaplan-Meier, cumulative incidence, accelerated failure time models), and propensity weightingExcellent project management skills; can prioritise multiple tasks and goals to ensure timely completionConfident and competent when interacting with internal and external stakeholdersStrong written/verbal communication skills. Highly effective at summarising and presenting key considerations and evidenceCytel Inc. is an Equal Employment / Aff…J-18808-Ljbffr