2026 Summer Intern (Biostatistics)
About The Position
We are seeking a motivated student and talented full-time student with an interest in biostatistics and data analysis to join our team as a Biostatistics Summer Intern. This intern will learn about the biostatistician roles and responsibilities as well as daily work in drug development. The intern will work on a project to implement different imputation rules to handle missing data and develop an R-Shiny tool if possible. In addition, they will help with the data automation process by creating SAS macros or R packages. Our interns will assist with the daily operations in each of their specific departments assigned to and gain exposure, including but not limited to: Hands-on, meaningful work experience in their field of study. Work in the industry on applying leading edge technology. Use school knowledge in real-work situations. Explore the environment and culture of a leading biotechnology company. Develop a network of industry contacts for future mentorship and guidance. Provide qualified and enthusiastic candidates for short-term projects. Encourage word-of-mouth advertising when Interns return to school. Potential to bring new science technologies and knowledge from the classroom into the workplace.
Requirements
- Currently pursuing degree in Statistics, Biostatistics, Mathematics or Data Science
- Strong organizational and time-management skills
- Excellent verbal and written communication skills
- A full-time student in an accredited program with plans to return to school in the fall
- All applicants must be at least 18 years of age by June 1, 2026.
- Provide adequate work authorization to work for any US employer through the duration of the program.
Nice To Haves
- Proficiency in SAS or R is a plus
Responsibilities
- Apply different imputation approaches for missing data handling using simulated data and summarize the analysis results
- Create an R-shiny tool based on the analyses performed for multiple imputation
- Perform exploratory data analysis and generate summary statistics as needed
- Create SAS macros or R packages to help dataset automation process
- Create SAS macros or R packages to help automated generation of data review listings
- Prepare a short presentation to share what they have learned through their internship and how they hope their new knowledge will help them secure their future career.
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Education Level
No Education Listed
Number of Employees
11-50 employees
