Biostatistics Intern - SAS Programmer

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 prep...