Sas programmer Jobs in USA

Job Description POSITION SUMMARY: The Biostatistics SAS Programmer Intern supports real-world evidence (RWE) research within the Biostatistics team.
This role focuses on data programming via preparation, transformation, and quality control using SAS to support observational studies and registry-based analyses.
The position collaborates closely with biostatisticians, data operations and clinical teams to ensure datasets are clean, standardized, and analysis-ready. ACCOUNTABILITIES: • Support development of programming specifications that define variable derivations and in-house data standards documentation. • Perform data cleaning, transformation, and preparation of large clinical registry datasets using SAS. • Develop and maintain SAS programs and macros to support efficient and reproducible workflows. • Translate programming specifications provided by biostatisticians into SAS code to prepare analysis-ready datasets, including implementing derivation logic. • Merge multiple data sources with high quality assurance assessments to ensure proper merging. • Generate summary outputs such as tables, listings and frequency reports • Document programming logic and dataset specifications.
Utilize good programming practices that include comments and documentation. • Implement data quality checks (QC). • Troubleshoot data issues and collaborate with data operations team, if needed. REQUIRED QUALIFICATIONS: • Must be enrolled in the second year of a Master's degree program in Biostatistics, Statistics, Public Health, Data Science, or a related field, OR have graduated from such a Master's program within the past 6 months. • 1+ years of hands-on programming experience through research assistantships, internships, academic projects, or other applied programming experiences. • Strong knowledge of Base SAS, PROC SQL, and data step programming • Familiarity with SAS macros • Availability to work 20-29 hours per week during standard business hours. • Expected internship duration is 9-12 months. • Anticipated start date is late August through mid-September 2026. PREFERRED QUALIFICATIONS: • Knowledge of programming specifications • Experience with healthcare, RWE, or registry data • Exposure to QC automation or data pipelines • Knowledge of R or Python is a plusResponsibilities POSITION SUMMARY: The Biostatistics SAS Programmer Intern supports real-world evidence (RWE) research within the Biostatistics team.
This role focuses on data programming via preparation, transformation, and quality control using SAS to support observational studies and registry-based analyses.
The position collaborates closely with biostatisticians, data operations and clinical teams to ensure datasets are clean, standardized, and analysis-ready. ACCOUNTABILITIES: • Support development of programming specifications that define variable derivations and in-house data standards documentation. • Perform data cleaning, transformation, and preparation of large clinical registry datasets using SAS. • Develop and maintain SAS programs and macros to support efficient and reproducible workflows. • Translate programming specifications provided by biostatisticians into SAS code to prepare analysis-ready datasets, including implementing derivation logic. • Merge multiple data sources with high quality assurance assessments to ensure proper merging. • Generate summary outputs such as tables, listings and frequency reports • Document programming logic and dataset specifications.
Utilize good programming practices that include comments and documentation. • Implement data quality checks (QC). • Troubleshoot data issues and collaborate with data operations team, if needed. REQUIRED QUALIFICATIONS: • Must be enrolled in the second year of a Master's degree program in Biostatistics, Statistics, Public Health, Data Science, or a related field, OR have graduated from such a Master's program within the past 6 months. • 1+ years of hands-on programming experience through research assistantships, internships, academic projects, or other applied programming experiences. • Strong knowledge of Base SAS, PROC SQL, and data step programming • Familiarity with SAS macros • Availability to work 20-29 hours per week during standard business hours. • Expected internship duration is 9-12 months. • Anticipated start date is late August through mid-September 2026. PREFERRED QUALIFICATIONS: • Knowledge of programming specifications • Experience with healthcare, RWE, or registry data • Exposure to QC automation or data pipelines • Knowledge of R or Python is a plus