Co-Op, Biometrics

Moderna; Cambridge (MA); On-site; USD 33,000 - 44,000; Full time

Job summary

Moderna in Cambridge, MA, is seeking a Co-op in Statistical Innovation & Data Analytics to support AI-enabled statistical and clinical data solutions across clinical programs.

Responsibilities include developing AI/ML solutions (LLMs, agentic workflows), designing scalable pipelines, and creating interactive visualizations. Collaboration with statisticians, data scientists, and clinical teams is essential. Hybrid work setup with full-term availability Jan–June 2027.

Qualifications

• Pursuing master's, doctoral, or advanced undergraduate degree in statistics, biostatistics, data science, computational biology, or related fields.
• Proficiency in Python (required) and R (preferred).
• Strong statistical and quantitative skills.
• Interest or experience in GenAI/LLMs, machine learning, AI deployment.
• Familiarity with cloud, APIs, containerization, SQL is a plus.
• Excellent communication and analytical skills.

Responsibilities

• Develop and evaluate AI/ML solutions for clinical data analysis, including LLMs, agentic workflows, and automation tools
• Design scalable AI pipelines
• Create interactive visualizations
• Collaborate with statisticians, data scientists, and clinical teams
• Contribute to validation and documentation of AI capabilities

Skills

Python

R

Statistical analysis

GenAI/LLMs interest

Communication skills

Education

Master's/PhD in statistics/biostatistics/data science

Tools

Cloud platforms (AWS/GCP)

APIs

Docker/Kubernetes

SQL

Job description

Role:

Co-op in Statistical Innovation & Data Analytics at Moderna, focusing on AI-enabled statistical and clinical data solutions to enhance decision-making and regulatory readiness across clinical programs.

Responsibilities:

• develop and evaluate AI/ML solutions for clinical data analysis, including LLMs, agentic workflows, and automation tools
• design scalable AI pipelines
• create interactive visualizations
• collaborate with statisticians, data scientists, and clinical teams
• contribute to validation and documentation of AI capabilities

Requirements:

• pursuing a master's, doctoral, or advanced undergraduate degree in statistics, biostatistics, data science, computational biology, or related fields
• proficiency in Python (required) and R (preferred)
• strong statistical and quantitative skills
• interest or experience in GenAI/LLMs, machine learning, AI deployment
• familiarity with cloud, APIs, containerization, SQL is a plus
• excellent communication and analytical skills

High-Value:

clinical data analytics, AI/ML research, LLM adaptation, regulated clinical environment, biopharma data workflows, digital transformation.

Work Setup:

hybrid Cambridge, MA; full-term availability Jan–June 2027; collaborative, innovation-driven environment.