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Map your path to a lower-cost, R-first clinical analysis environment.

Tell Snowbird Analytics where your team is today: SAS-heavy, CRO-dependent, spreadsheet-driven, or ready for AI-assisted R workflows.

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FAQ

Common questions

Do you only work in R now?

No. R is the recommended default for cost-efficient new environments, but SAS remains available as an alternative for legacy workflows, sponsor requirements, or independent validation.

Can AI agents be used with clinical data safely?

They can be useful when designed carefully. The workflow should address privacy, access control, model choice, auditability, version control, and human review before any production use.

Can you help if we already have a CRO?

Yes. Snowbird Analytics can support sponsor-side oversight, internal validation, R migration planning, or workflow tooling that makes CRO collaboration more transparent.

Can you deliver actual study outputs?

Yes. The work can include hands-on ADaM, TLG, QC, ad-hoc analysis, medical review outputs, and documentation, not just advisory design.