Senior Associate, Real World Data (RWD) Analyst (EMEA)
Indexed description
Summary Of Responsibilities
Client Delivery
- Provide programming for the analysis of RWD from diverse sources including observational studies and existing secondary data sources (e.g., claims, hospital administration, electronic health records, registries)
- Develop analysis-ready datasets from source data, including derivation of analytic variables, following an analytic plan
- Independently develop tables/figures/listings (TFLs) from analytic datasets and following an analytic plan
- Provide programs to validate analysis datasets and results presented in TFLs and resolve discrepancies with minimal oversight
- Create and maintain documentation of programming for assigned deliverables
- Provide quality cross-checks of written deliverables to analytic results
- Communicate accurate and timely status updates to RWE biostatisticians, epidemiologists, and team members
- Provide analytic programming of other data sources for various projects, as needed
- Follow standard operating procedures (SOPs) relevant to assigned projects
- Identify opportunities to enhance productivity, quality, and efficiency in analytic processes
- Provide informal guidance to Associate, RWD Analysts
- Participate in department meetings to share knowledge and insights
- Maintain a standard of personal behavior and business ethics in line with Fortrea culture
- Contribute to repeat business through delivery of quality analyses and deliverables
- And all other duties as needed or assigned
- Bachelor’s degree in statistics, mathematics, epidemiology, or another relevant field
- Fortrea may consider relevant and equivalent experience and successful project outcomes in lieu of educational requirements
- Proficiency in relevant programming language that meets current client demand (e.g., SAS, R, Python)
- Proficiency in SAS macro language
- Working knowledge of Microsoft Word, PowerPoint, and Excel
- Ability to solve problems independently
- Ability to follow defined processes
- Strong attention to detail
- Strong oral and written communication
- Team player mentality
- ≥3 years of health research data analysis experience
- Bachelor’s degree or higher with a strong focus in statistics
- Experience conducting analyses of observational study data
- Proficiency in CDISC standards (e.g., writing SDTM and ADaM specifications)
- Experience applying CDISC standards to observational study data
- Analytic experience with existing secondary data sources (e.g., claims, hospital administration, electronic health records, registries)
- Ability to challenge conventional thinking to develop solutions
- Home-based environment
- Varied hours may be required
- On occasion, must be able to work in the evenings and on weekends to meet project deadlines
- Ability to work in an upright and/or stationary position for 6-8 hours per day
- Repetitive hand movement of both hands with the ability to make fast, simple, repeated movements of the fingers, hands, and wrists to operate lab equipment
- Occasional crouching, stooping, with frequent bending and twisting of upper body and neck
- Ability to access and use a variety of computer software developed both in-house and off-the-shelf
- Light to moderate lifting and carrying, or moving of objects, including luggage and laptop computer with a maximum lift of 15-20 lbs
- Regular and consistent attendance
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