Pharma Biostatistics Intern - Data & Stats

Daiichi Sankyo; Basking Ridge (NJ); On-site; USD 24,000 - 80,000; Full time

Job summary

Daiichi Sankyo invites a Biostatistics Intern for Summer 2027 to gain practical experience in drug development and statistics within a collaborative team. The 12-week, full-time program emphasizes applying statistical methods to real-world clinical trial questions and methodological challenges.

Interns will work with experienced statisticians, contributing to project teams while developing programming and communication skills in a supportive environment.

Qualifications

• Currently enrolled in a Ph.D. program in Biostatistics, Statistics, or a closely related field at an accredited college or university, with demonstrated statistical research experience and knowledge equivalent to a master’s degree in Statistics.
• Available to work full-time for 12 weeks from June through August.
• Detail‑oriented, highly motivated, and able to manage multiple tasks effectively while working both independently and collaboratively as part of a team.
• Proficient in at least one statistical programming language, such as SAS, R, or Python.
• Strong written and verbal communication skills.

Responsibilities

• Engage in hands-on experience in the pharmaceutical industry and exposure to statistics in drug development.
• Contribute to project teams by applying statistical, programming, and computational skills to scientific and business questions.
• Work on a project focused on a statistical research question or methodological challenge related to drug development.

Skills

Statistical research

Attention to detail

Multitasking

Team collaboration

Education

PhD in Biostatistics/Statistics

Tools

SAS

R

Python

Job description

Daiichi Sankyo invites a Biostatistics Intern for Summer 2027 to gain practical experience in drug development and statistics within a collaborative team. The 12-week, full-time program emphasizes applying statistical methods to real-world clinical trial questions and methodological challenges.

Interns will work with experienced statisticians, contributing to project teams while developing programming and communication skills in a supportive environment.