Biometrics Co-op: AI-Driven Clinical Data Analytics

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

Benefits offered by this job

Premium mindfulness

Commuter benefits

Paid time off

Job summary

Moderna offers a co-op opportunity in Cambridge, MA, focusing on AI-enabled statistics, clinical data science, and technology development within the SiDA team. The role emphasizes hands-on AI engineering, data analytics, and scalable pipelines to support statisticians and clinical teams.

You'll explore LLMs, agentic workflows, model post-training, and visualization tools, aiming to reduce repetitive work and accelerate insights within regulated clinical research workflows.

Qualifications

• Strong background in statistics and data analysis for clinical data.
• Proficient in Python; experience with R is a plus.
• Familiarity with cloud platforms, containers, and SQL.
• Interest in GenAI/LLMs and AI-based workflows.
• Ability to translate AI outputs into practical models.

Responsibilities

• Develop and evaluate AI/ML and agentic solutions for clinical data analysis, statistical programming, and workflow automation.
• Explore LLM post-training, adaptation, and evaluation approaches to improve model performance.
• Design agentic workflows with human oversight, traceability, and reproducibility for regulated environments.
• Build scalable AI pipelines integrating clinical, statistical, and translational datasets.
• Create interactive data visualizations, dashboards, and analytics to accelerate insights.
• Collaborate with statisticians, data scientists, and engineers to translate needs into solutions.
• Explore opportunities to automate data lifecycle tasks including processing, QC, and reporting.
• Contribute to documentation, evaluation considerations, and reusable AI capabilities.

Skills

Python

R language

Cloud platforms

Containerization

SQL

Statistical modeling

Communication

Teamwork

AI/ML knowledge

Education

Master's in stats

Tools

Docker

Jupyter

SQL tooling

Job description

Moderna offers a co-op opportunity in Cambridge, MA, focusing on AI-enabled statistics, clinical data science, and technology development within the SiDA team. The role emphasizes hands-on AI engineering, data analytics, and scalable pipelines to support statisticians and clinical teams.

You'll explore LLMs, agentic workflows, model post-training, and visualization tools, aiming to reduce repetitive work and accelerate insights within regulated clinical research workflows.