Co-Op, Clinical Biomarker Biostatistics

Moderna • Cambridge, MA

1d • $20 - $60 • Onsite

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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

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, 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.

Benefits

• Free premium access to meditation and mindfulness classes
• Subsidized commuter benefits
• Generous paid time off, including vacation, sick time, holidays, volunteer days, and a discretionary year-end shutdown
• Location-specific perks and extras

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: Ph.D. or professional degree