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 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

• 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

• 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 (Cl informatics 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…