Co-Op, Clinical Biomarker Biostatistics

The Role

This is a full-time Co-op position based in Cambridge, MA from January 18th-June 25th, 2027 . Candidates must be available for the entire duration of the program.

Moderna's Biometrics organization is seeking a highly-motivated Biostatistics internship to help address complex quantitative challenges and generate high-impact evidence that informs the development of mRNA vaccines and therapeutics.

As a Biostatistics internship, you will work alongside experienced statisticians and cross-functional scientists as an integral member of high-performing project teams. You will have the opportunity to develop, evaluate, and apply fit-for-purpose statistical methodologies to real-world clinical development questions, with a particular focus on biomarkers, causal inference, correlates of protection (CoP), and surrogate endpoints.

This internship offers a unique opportunity to bridge statistical theory with cutting-edge clinical science. Through hands-on research, simulation, and analysis of clinical trial and biomarker data, you will gain experience translating innovative statistical approaches into meaningful scientific insights and development decisions for next-generation mRNA medicines.

Here's What You'll Do

• Develop and apply fit-for-purpose statistical and causal inference approaches to evaluate biomarkers as potential CoP and surrogate endpoints for clinical benefit.
• Explore causal frameworks for surrogate endpoint evaluation, including mediation analysis, controlled efficacy, principal stratification, and other emerging methodologies, as appropriate to the scientific question.
• Design and conduct simulation studies to evaluate statistical properties, operating characteristics, and robustness of proposed methods under clinically relevant scenarios.
• Apply statistical methods to clinical trial and biomarker data to characterize relationships among treatment, immune or biological responses, and clinical outcomes.

Here's What You'll Need (Minimum Qualifications)

• Currently enrolled in a PhD program in Biostatistics, Statistics, Applied Mathematics, Data Science, or a related quantitative field.
• Graduate-level training or research experience in statistical methodology, including regression, survival analysis, and causal inference.
• Academic or research experience with causal inference and machine learning/or deep learning methodologies.
• Proficiency in R (or SAS, Python) for statistical analyses, methodology research, and simulation studies.

Here's What You'll Bring to the Table (Preferred Qualifications)

• GPA of 3.5 or higher on a 4.0 scale, or equivalent academic achievement.
• Research experience in causal inference, biomarkers, correlates of protection (CoP), surrogate endpoints, clinical trials, or related biomedical applications.
• Strong interest in developing and applying innovative statistical methodologies to accelerate the development of mRNA vaccines and therapeutics.
• Experience with simulation studies, machine learning/deep learning, or advanced statistical modeling
• Peer-reviewed publications, conference presentations, manuscripts, or other demonstrated experience in academic research and scientific communication
• Ability to work independently while collaborating effectively within multidisciplinary teams
• Strong written and verbal scientific communication skills

Our Working Model

As we build our company, we have always believed an in-person culture is critical to our success. Moderna champions the significant benefits of in-office collaboration by embracing a 70/30 work model. This 70% in-office structure helps to foster a culture rich in innovation, teamwork, and direct mentorship. Join us in shaping a world where every interaction is an opportunity to learn, contribute, and make a meaningful impact.

Mo…