Lead Analyst, Real World Evidence

Job Overview:

Summary Of Responsibilities:

• Lead and execute with full ownership of the assigned RWE projects.
• Provide programming support for the analysis of real-world data across diverse sources including medical and pharmacy claims data, hospital data, electronic medical record data, and prospective observational study data.
• Contribute to the development of programming specifications based on analysis requirements and source data.
• Develop and validate analysis datasets from various file formats and sources, both internal and external.
• Validate and develop graphs and tables primarily for exploratory investigations, adapting to evolving analysis requirements.
• Ensure excellence in the programming of analysis-ready datasets, tables, listings, and figures, including associated validation work.
• Develop and maintain required documentation for the assigned deliverables.
• Communicate accurate and timely status updates to project team members.
• Foresee potential issues and impact on project timeline and provide suggestions on best path forward for engagement success.
• Communicate with internal and external stakeholders including responding to different communication styles, as well as a proven ability to build robust and sustainable customer relationships.
• Mentor less-experienced RWE analysts.
• Present and share knowledge at department meetings.
• Identify processes within programming that will increase productivity, quality, and efficiency.
• Respond to QA and client audits, and support qualification audits.
• 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, 5-7 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.
• 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.

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 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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