SAS Programmer

Summary

Join Aetion, a leading science-driven technology company, as a SAS Programmer to contribute to real-world evidence generation for evaluating drug safety, effectiveness, and value. This full-time, temporary, fixed-term contract position involves developing, validating, and maintaining SAS and SQL programs for statistical analysis of real-world data. Collaborate with various researchers to define programming requirements and ensure accurate analyses. Prepare datasets for analysis, write complex SQL queries, and perform quality control. Contribute to statistical analysis plans and maintain a strong knowledge base in pharmacoepidemiology and related fields.

Requirements

• Bachelor or Master’s degree or equivalent experience with a computer science, mathematics, statistics, epidemiology, biostatistics, health services research, or health economics major preferred
• 4+ years of SAS and SQL programming skills and expertise in the development and implementation of statistical programming procedures
• Strong computer skills, detail-oriented, and able to effectively communicate, knowledge of advanced mathematics and statistics
• Excellent analytical and problem-solving skills

Responsibilities

• Develop, validate, and maintain SAS and SQL programs to support statistical analysis of real-world data (e.g., claims, EMR/EHR, registries, and observational datasets)
• Collaborate with epidemiologists, data scientists, statisticians, and clinical researchers to define programming requirements and ensure accurate and reproducible analyses
• Prepare datasets for analysis, including data extraction, transformation, cleaning, and harmonization from multiple RWD sources using SAS and SQL
• Write complex SQL queries to retrieve, filter, and aggregate structured data in support of study cohorts and analytic datasets
• Perform quality control (QC) and validation of programming deliverables to ensure accuracy and compliance with internal and external standards
• Contribute to statistical analysis plans (SAPs) and programming specifications by providing input on data structure, variable derivation, and technical feasibility
• Maintain a strong current knowledge base in pharmacoepidemiology, HEOR, and/or biostatistical methods as applied to observational RWE studies

Preferred Qualifications

• Experience leading SAS and SQL programming projects in the pharmaceutical industry on statistical programming
• Experience working with multiple types of healthcare databases relevant to pharmacoepidemiology/HEOR (claims, EMR, US and non-US, registries, etc.)