Senior Analyst, Real World Evidence

Job description

**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. Learn more about our EEO & Accommodations request here.