Biostatistics Co-op: Biomarkers, CoP & Causal Inference

Moderna Therapeutics; Cambridge (MA); On-site; USD 28,000 - 83,000; Full time

Benefits offered by this job

Meditation access

Commuter benefits

Paid time off

Job summary

Moderna Therapeutics in Cambridge, MA, invites applications for a full-time Biostatistics internship Co-op from January 18 to June 25, 2027. You will work with statisticians on biomarkers, causal inference, correlates of protection, and surrogate endpoints to support mRNA vaccine development.

You will design simulations, apply fit-for-purpose methods, and translate results into actionable scientific insights within cross-functional teams.

Qualifications

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

Responsibilities

• 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.
• 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.

Skills

Biostatistics

Causal inference

Survival analysis

Education

PhD in Biostatistics or related

Tools

R

SAS

Python

Job description

Moderna Therapeutics in Cambridge, MA, invites applications for a full-time Biostatistics internship Co-op from January 18 to June 25, 2027. You will work with statisticians on biomarkers, causal inference, correlates of protection, and surrogate endpoints to support mRNA vaccine development.

You will design simulations, apply fit-for-purpose methods, and translate results into actionable scientific insights within cross-functional teams.