Senior Analyst, Real World Evidence

Job Overview:

Providing programming and analysis support for Real World Evidence projects for Fortrea clients. Having good understanding of the various sources on Real World Data to be used in the analysis.

Summary of 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.
• Develop and maintain required documentation for the assigned deliverables.
• Communicate accurate and timely status updates to project lead and other project 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.

Qualifications (Minimum Required):

• 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.

Experience (Minimum 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.
• Experience in handling data from EHR/Claims databases (Optum, Marketscan, Flatiron etc.) is required.
• Proficiency in SAS and SQL programming.

Preferred Qualifications Include:

• 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 and communicate effectively within the team environment.
• 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 take detailed RWE study results and communicate them in a clear, non-technical manner to internal cross-functional teams, using language that resonates with the teams, while maintaining the integrity of key findings.
• Ability to work effectively in a constantly changing, diverse and matrix environment.

Physical Demands/Work Environment:

• Office or home-based environment, as requested by the line manager.

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