Biostatistics Intern - SAS Programmer

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. Collaborates closely with biostatisticians, data operations, and clinical teams to ensure datasets are clean, standardized, and analysis-ready.

Responsibilities

• 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 the data operations team, if needed.

Requirements

• 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.

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.

Schedule

• Expected internship duration is 9–12 months.
• Anticipated start date is late August through mid-September 2026.

Benefits

• Medical, dental, vision, life, and disability insurance.
• Accident, critical illness, and hospital insurance.
• Well-being, legal, identity theft, and pet benefits.
• Retirement plans.
• Paid time off, holidays, and leave plans.
• Incentive plans.