Senior Analyst - Real World Evidence

September 23

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Fortrea

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10,000+

Description

• Providing programming and analysis support for Real World Evidence projects for Fortrea clients. • Provide programming support for analysis of real-world data from different sources. • Contribute to development of programming specifications for conducting the analysis. • Develop/validate analysis datasets from a variety of file and formats. • Develop/validate graphs and tables primarily for exploratory investigations. • Ensure excellence in the programming of analysis ready datasets, tables, listings, and figures. • Develop and maintain required documentation for the assigned deliverables. • Communicate accurate and timely status updates to project lead and team members. • Present and share knowledge at department meetings. • Identify processes within programming that will increase productivity, quality, and efficiency. • And all other duties as needed or assigned.

Requirements

• Bachelor’s or Master’s degree in Computers, Engineering, Statistics, Health Informatics, Life Sciences, Mathematics, Economics, or Econometrics. • Fortrea may consider relevant and equivalent experience in lieu of educational requirements. • Typically, 3-5 years of RWE analysis experience in the CRO or Pharmaceutical Industry. • Experience in handling data from EHR/Claims databases (Optum, Marketscan, Flatiron etc.) is required. • Proficiency in SAS and SQL programming. • Experience in programming languages such as R and Python. • Experience with handling big data, non-standard/new data, and complex data. • Expertise in creating various types of graphs for data presentation. • Strong analytical mindset and logical thinking capability. • Positive attitude and willingness to learn and contribute to a team setting. • Experience in working with real-world data from health insurance claims, retrospective analyses, manual chart reviews, prospective observational studies, and pragmatic clinical trials. • Good understanding of advanced statistical and econometric methods in theory and practice. • Ability to communicate RWE study results clearly to internal cross-functional teams.

Benefits

• Medical • Dental • Vision • Life • STD/LTD • 401(K) • ESPP • Paid time off (PTO) • Flexible time off (FTO) • Company bonus where applicable