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Biostatistics Intern - SAS Programmer
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What they do
An SAS Programmer designs or improves SAS (Statistical Analysis Systems) computer software and applications used to analyze or manage data for business or organization. Writes programs to create statistical analysis. Oversees the entire SAS software development process. Analyzes customer or user needs, designs programs, writes code or instructs computer programmers, tests design, and documents programs. May assist with upgrades or maintenance.
$111,471 / year median in Minnesota
-17% projected decline
Job Description
Type:
Full-Time Job Description:
Job DescriptionPOSITION 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 Responsibilities
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