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 DoDevelop 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.

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