Senior Analyst, Real World Evidence (RWE), US Remote based (FSP)

Role Summary

Senior Analyst, Real World Evidence (RWE) working remotely to provide programming and analysis support for Real World Evidence projects. The ideal candidate will have a firm understanding of Real World Data sources used in analyses.

Responsibilities

• Provide programming support for analysis of real-world data from different sources including medical and pharmacy claims data, hospital data, electronic medical record data, and prospective observational study data.
• Contribute to development of programming specifications for conducting the analysis using requirement details and source data.
• Develop/validate analysis datasets from a variety of file and formats from either internal or external vendors as well as using diverse collection of data files in terms of the type, data format and size.
• Develop/validate graphs and tables primarily for exploratory investigations with analysis requirements that may change throughout the life of the project.
• Ensure excellence in the programming of analysis ready datasets, tables, listings, and figures, and associated validation work.
• Communicate accurate and timely status updates to project lead and other project team members.
• Identify processes within programming that will increase productivity, quality, and efficiency.
• All other duties as needed or assigned.

Qualifications

• Required: Bachelor's or Master's degree in Computers, Engineering, Statistics, Health Informatics, Life Sciences, Mathematics, Economics, or Econometrics.
• Required: Fortrea may consider relevant and equivalent experience in lieu of educational requirements.
• Required: Typically 3-5 years of RWE analysis experience in the CRO or Pharmaceutical Industry, or an equivalent combination of education and experience to successfully perform the key responsibilities of the Job.
• Required: Experience in handling data from EHR/Claims databases (Optum, Marketscan, Flatiron etc.) is required.

Education

• Bachelor’s or Master’s degree in Computers, Engineering, Statistics, Health Informatics, Life Sciences, Mathematics, Economics, or Econometrics (or equivalent experience).

Skills

• SAS programming
• SQL programming

Additional Requirements

• Work Environment: Office environment with exposure to electrical office equipment; occasional travel to site locations, with domestic and international travel as needed.
• Physical Requirements: Frequently stationary for 6-8 hours per day; repetitive hand movements; occasional crouching and bending; ability to lift up to 15-20 lbs; regular and consistent attendance; varied hours may be required.