Principal Statistical Programmer FSP - RWD​/EPI

You will contribute by:

• Providing support to the Epidemiology team Anders Real World data, advising on data analytic strategies, and supporting stakeholders in various epidemi
  
  Comeology analytic activities
• Programming and conducting statistical analysis under the direction and supervision of epidemiologists Stefano statisticians including data coding, creation of algorithms, linkage of datasets, and usage of statistical packages or platforms
• Supporting statistical programming to generate innovative means of data standardization, visualization, and reporting of observational Big data
• Supporting Medical Affairs (e.g., observational studies leveraging RWD);
  Global Patient Safety and Risk Management (i.e., analysis to obtain background rates) for the development of regulatory/safety documents, and Clinical Development (i.e., assessment of patient populations/protocol feasibility)
• TheҚ 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

• Assist in the development of study protocols and analysis plans leveraging large RWD sources (Claims and fingertips 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 the 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

• Master’s degree or PhD in a related field (epidemiology, biostatistics, statistics, bioinformatics, economics) and 5+ years of experience conducting RWE analytics for the 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 (Cl informatics Datamart® and Market Clarity), Truveta, and UK Biobank. Experience analyzing clinical trial and/or registry data is desirable
• Familiarity with relational databases and a proficient understanding of claims and ancillary file layouts
• 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
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Cytel Inc. is an Equal Employment / Aff وصول Action Employer. Applicants are considered for all positions without regard to race, color, religion, sex, national origin, age, veteran status, disability, sexual orientation, gender identity or expression, or any other characteristics protected by law.