Biometrics AI Intern: Clinical Data Analytics & LLMs

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

Benefits offered by this job

Free premium meditation/mindfulness

Subsidized commuter benefits

Generous paid time off

Location-specific perks

Job summary

Moderna invites students to join the Statistical Innovation & Data Analytics (SiDA) team for a full-time summer internship in Cambridge, MA from June 7, 2027 to August 20, 2027. You will work on AI/ML, agentic AI, and data analytics across clinical development, with emphasis on governance, traceability, and production-ready pipelines.

The role offers exposure to translating AI tech into practical, scalable solutions for statisticians, data scientists, and clinical teams, and requires

Qualifications

• Master, doctoral or advanced undergraduate Student in statistics, biostatistics, computational biology, health informatics, data science or computer science related quantitative disciplines
• Excellent statistical knowledge with strong quantitative skills applicable to scientific and clinical problems
• Experience in coding in Python (required) and R (preferred); familiarity with cloud computing platforms, containerization, backend development, and SQL
• Experience or interest in GenAI/LLMs, machine learning, agentic systems, model post-training, or AI application development
• Familiarity with cloud computing, containerization, APIs/backend development, RAG, model evaluation, or AI deployment is a plus
• Experience developing data visualizations, dashboards, or reusable computational tools is preferred
• Interest in building practical, reliable, scalable AI solutions for clinical or biomedical research
• Strong analytical thinking, engineering mindset, curiosity, and communication skills
• Ability to learn quickly, work across disciplines, and translate AI technologies into practical solutions

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 for statistical and clinical research
• Design agentic workflows with human oversight, traceability, and reproducibility for regulated environments
• Build scalable AI pipelines that integrate clinical, statistical, and translational datasets
• Develop interactive data visualizations, dashboards, and analytical applications
• Collaborate with statisticians, data scientists, and researchers to translate needs into solutions
• Explore opportunities to automate and augment the clinical data lifecycle (processing, QC, reporting)
• Contribute to documentation, evaluation, validation considerations, and reusable AI capabilities

Skills

Statistical knowledge

Python

R

Cloud computing

Containerization

SQL

GenAI/LLMs

AI/ML development

Communication skills

Education

Statistics/biostatistics/CS degree student

Tools

Python

R

SQL

Cloud platforms

Containerization

Job description

Moderna invites students to join the Statistical Innovation & Data Analytics (SiDA) team for a full-time summer internship in Cambridge, MA from June 7, 2027 to August 20, 2027. You will work on AI/ML, agentic AI, and data analytics across clinical development, with emphasis on governance, traceability, and production-ready pipelines.

The role offers exposure to translating AI tech into practical, scalable solutions for statisticians, data scientists, and clinical teams, and requires