2026 Co-op, Statistical AI/ML Research & Agent Enablement
About The Position
The Statistical Innovation & Data Analytics (SiDA) team is advancing AI-powered clinical data systems to accelerate decision-making, regulatory readiness, and operational efficiency across development programs. This co-op role offers hands-on experience at the intersection of: Clinical data analytics (EDC, SDTM, ADaM, translational data) AI/ML research and applied modeling LLM-based and agentic system development Moving prototypes to scalable, production-oriented, compliant AI applications The student will contribute to the design, evaluation, and implementation of AI-driven tools that support statisticians, programmers, and clinical development teams.
Requirements
- Master, doctoral or advanced undergraduate Student in statistics, biostatistics, computational biology, health informatics, data science or computer science related disciplines.
- Excellent statistical knowledge and quantitative skills with the ability to apply the knowledge to solve scientific and clinical problems.
- Experience in coding in Python (required) and R (preferred); demonstrated ability in cloud computing platforms, containerization, backend development, and SQL.
- Experience with GenAI/LLM including post-training, deployment, and agent development; Machine Learning knowledge and experience for solving real-world problems.
- Hands-on experience in creating visualization, dashboards, and toolkits.
- Interest in building practical AI solutions in clinical or biomedical settings
- Outstanding analytical, engineer thinking and communication skills (verbal and written).
Responsibilities
- Support development of AI/ML-powered tools and agentic applications for clinical data analysis and automation, including tool-calling, RAG and agent skill-based architectures
- Contribute to agentic workflows and accountable LLM implementations in a regulated environment
- Explore and evaluate machine learning and language model approaches for clinical and statistical use cases
- Assist in building scalable, modular AI pipelines integrated with clinical datasets
- Develop data visualizations, dashboards, and analytic applications to support clinical insights
- Collaborate with statisticians, programmers, and data scientists to translate business needs into technical solutions
- Contribute to documentation, validation considerations, and reproducibility
- Collaborate with scientists and statistical programmers to solve challenging problems in clinical data lifecycles and harmonize various data sources and formats using clinical data standards.
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
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What This Job Offers
Career Level
Intern
