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Biostatistics Intern - SAS Programmer

Job Description - Biostatistics Intern - SAS Programmer

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 plus

 



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