Position 

This 10-week summer internship provides an opportunity to gain hands-on experience within the Biostatistics function in a collaborative, fast-paced biotech environment. The Biostatistics Intern will support statistical methodology development and implementation activities aligned with clinical trial design and analysis, with a particular focus on adaptive late-stage oncology clinical trials. 

In this role, you will gain exposure to the end-to-end statistical support of clinical development programs, including implementation, validation, and documentation of statistical methods that support interim analyses, efficacy evaluations, and regulatory submissions. This internship is designed to provide practical experience supporting a Phase 2/3 oncology clinical trial while contributing to the development of standardized statistical programming frameworks and reusable methodologies across future studies. 

About You 

You are passionate about advancing therapies through rigorous statistical science and are interested in applying statistical methodology to real-world clinical development challenges. You are analytical, detail-oriented, and intellectually curious, with strong problem-solving and communication skills. You enjoy collaborating with cross-functional stakeholders and are motivated to deepen your understanding of statistical approaches used in oncology clinical trials and drug development. 

 What You’ll Do 

• Support implementation, validation, and documentation of statistical methods aligned with clinical study Statistical Analysis Plans (SAPs) and regulatory expectations.
• Contribute to statistical programming and methodological development supporting adaptive Phase 2/3 oncology clinical trials.
• Assist with development of reproducible statistical frameworks and reusable analysis tools to support late-stage Tables, Listings, and Figures (TFL) reporting.
• Implement and validate core statistical methodologies, including stratified log-rank tests, stratified Cox proportional hazards models, stratified Miettinen–Nurminen methods for binary endpoints, mixed-effects models for repeated measures (MMRM) for patient-reported outcomes, as well as combination testing frameworks and closed testing procedures supporting multiplicity control and adaptive study design.
• Collaborate with internal stakeholders to support interim analyses and decision-making frameworks.
• Conduct literature reviews and remain current on statistical methodology and oncology clinical trial design.
• Contribute to preparation of technical documentation, reports, and presentations.
• Present internship project outcomes and key learnings. 

Qualifications  

• Currently enrolled in an accredited university pursuing a PhD in Biostatistics, Statistics, or a related quantitative discipline.
• Must be enrolled in school during the internship program.
• Strong programming skills in R and/or SAS.
• Strong analytical, problem-solving, and quantitative reasoning skills.
• Excellent verbal and written communication skills.
• Ability to work collaboratively in a team environment and manage multiple priorities.
• Strong attention to detail and commitment to scientific rigor.
• Must be available to work full-time (40 hours per week) during core business hours for a minimum of 10 weeks during the summer internship program.
• Exposure to oncology clinical endpoints such as progression-free survival (PFS), overall survival (OS), or objective response (OR) preferred.
• Coursework or experience in survival analysis preferred.
• Coursework or experience in multiplicity control methods or adaptive clinical trial design preferred.
• Coursework or experience with mixed-effects modeling approaches preferred. 

The expected hourly pay for this role is $48/hour.