RWE (Real World Evidence) SAS Programmer, CDISC/SDTM specs

Job Overview:
The RWE SAS Programmer, CDISC/SDTM specs position is responsible for supporting our Real-world Evidence (RWE) services through successful delivery of complex analyses of data generated from global prospective and retrospective observational studies or existing secondary data sources (e.g., claims, hospital administration, electronic health records, registries). The Senior Associate, RWD Analyst follows analytic plans for data presentation under the guidance of our RWE biostatisticians and epidemiologists.
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
Process Improvement
Follow standard operating procedures (SOPs) relevant to assigned projects
Identify opportunities to enhance productivity, quality, and efficiency in analytic processes
People
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
Business Development
Contribute to repeat business through delivery of quality analyses and deliverables
And all other duties as needed or assigned
Qualifications (Minimum Required):
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
Experience (Minimum Required):
≥3 years of health research data analysis experience
Preferred Qualifications:
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
Physical Demands / Work Environment:
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
Learn more about our EEO & Accommodations request here.