Clinical Outcomes Solutions

Principal Statistical Programmer – FSP, RWD/EPI

Clinical Outcomes Solutions

full-time

Posted on:

Location Type: Remote

Location: United States

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About the role

  • 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

Requirements

  • 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 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 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.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
SQLSASRstatistical analysisdata codingalgorithm creationdata standardizationdata visualizationregression analysissurvival analysis
Soft Skills
project managementcommunicationproblem solvingstakeholder managementprioritization