at Cytel in Boise, Idaho, United States Job Description 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 re To view full details and how to apply, please login or create a Job Seeker account