job title: Senior Analyst, Real World Evidence(fortrea)

Roles and Responsibilities

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.