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Biostatistics Intern - SAS Programmer

minneapolis, mn • Posted 6 days ago
Onsite Internship Bio & Pharmacology & Health

Biostatistics Intern - SAS Programmer (Finance)


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 plus

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