Statistical Programming Intern

Summary

Join Biogen's 12-week Statistical Programming internship (June-August 2025)! This role offers hands-on experience in clinical trial data analysis and reporting. You'll learn SAS programming, data manipulation, and regulatory requirements (CDISC standards). Interns will contribute to analysis datasets, modeling, and reporting, creating tables and figures. Three departments are hiring, with projects focusing on SDTM data transformation (using Python and NLP), and data visualization application improvement. The internship is remote and requires basic statistical knowledge and programming concepts.

Requirements

• Basic knowledge of statistical methods and programming concepts
• Familiarity with SAS or willingness to learn
• Legal authorization to work in the U.S
• At least 18 years of age prior to the scheduled start date
• Be currently enrolled in an accredited community college, college, or university, with a graduation date no earlier than August 2025
• Currently pursuing a Bachelor’s or Master’s degree in Statistics, Biostatistics, Mathematics, Computer Science, Information systems, Data Science, or related field

Responsibilities

• Learn and apply SAS programming techniques to clean, manipulate, and analyze clinical trial data
• Create analysis datasets and generate results under the guidance of experienced statistical programmers
• Gain familiarity with FDA regulations and requirements related to clinical trials such as Clinical Data Interchange standards Consortium (CDISC) standards
• Learn about CDISC standards, including SDTM and ADaM, and how they apply to regulatory submissions and clinical trial reporting
• Assist in the creation of analysis dataset (ADaM) and support statistical modeling and reporting efforts
• Contribute to the development and validation of datasets required for regulatory submissions
• Help prepare clear, accurate, and comprehensive tables, listings, and figures to summarize clinical trial data
• Work on structured data to create a database based on which a chatbot can be created to assist users and query from the database

Preferred Qualifications

• Hands-on exposure to Machine learning/NLP
• Python programming experience
• Understanding of Software Development Life Cycle (SDLC) concepts
• Strong analytical, problem-solving, and attention-to-detail skills including proven ability to manage some competing priorities
• Experience of R/shiny and web app development
• Ability to commit to a full-time, 12-week internship

Benefits

Remote work