2026 Summer Intern - Biostatistics (PhD Student)

About Us 

Position Title: 2026 Summer Intern - Biostatistics (PhD Student)

Department: Biostatistics

Reports To: Director, Biostatistics

Location: South San Francisco, CA or Princeton, NJ – On-site 4 days per week (Mon to Thurs)

Job Overview

Kardigan is looking for a Biostatistics Intern to join our Biostatistics team to explore and evaluate data handling strategies including missing data handling for analyzing clinical trial data and digital health data streams. If you’re interested in learning about the latest clinical trials and analysis methods within a supportive and fast-moving environment, this role is a great fit.  You’ll contribute to real projects, learn from experienced teammates, and make a meaningful impact on our biostats programs across our portfolio.

What You’ll Do

• Evaluate data processing and modeling strategies for clinical trial and digital health data using both real study data and simulation-based.  ​ 


• Compare different data handling approaches, including missing data imputation techniques and estimand strategies, and summarize their strengths, limitations, and best practices in a structured report.​ 


• Explore wearable device data to better understand its structure, quality, and analytical considerations. Interpret results and communicate insights clearly and translate findings into actionable recommendations. 


• Develop clear, well-documented, and reproducible code in R/Python/SAS to support analyses and simulation work.  

Qualifications

• Current Ph.D. level student enrolled in an accredited institution in Biostatistics, Statistics, Data Science, or a related field. 


• Experience with R, Python, or SAS for data analysis. 


• Interest in clinical trials, digital health analytics, and simulation methods. 


• Familiar with advanced statistical methods, including longitudinal data analysis and multiple imputations 


• Nice to have someone who has completed an internship in the past.


• Strong curiosity, attention to detail, problem-solving mindset, and enthusiasm for learning. 

Pay: $33 per hour for Princeton, NJ or $38 per hour for South San Francisco, CA
Location requirement: Candidates must be based in the Princeton, NJ Area or San Francisco Bay Area (no relocation assistance)