BIO
Biostatistics domain depth
Experience with CDISC-oriented datasets, ADaM derivations, TLG generation, survival analysis, RECIST, CTCAE, ISS/ISE concepts, and clinical review workflows.
Founder profile
From study programming to computational environment design.
Boyang Yu is a senior statistical programming leader with more than a decade of pharmaceutical industry experience across Phase I-III clinical trials, with deep work in oncology and hematology. Snowbird Analytics was created to help lean organizations get senior-level delivery and modern workflow infrastructure without the cost structure of a large CRO.
The company now focuses on building practical Statistical Computational Environments: R-first pipelines, reusable reporting assets, AI-agent assisted programming workflows, and QC evidence packages that keep expert review at the center.
The thesis is simple: smaller clinical teams should not have to choose between expensive big-CRO delivery and fragile manual programming. With R, AI agents, and disciplined review gates, they can build a repeatable analysis engine.
What Snowbird brings
Clinical credibility plus modern engineering habits.
R
Open-source implementation
R-first workflow design using reproducible project structures, package-managed environments, scriptable reporting, and transparent code review.
AI
Agentic automation judgment
Practical AI workflows for drafting, checking, summarizing, and documenting work, with clear boundaries around privacy, validation, and human accountability.
Utah-based, remote-first
Rooted in the Wasatch, built for distributed clinical teams.
Snowbird Analytics LLC is based in Salt Lake County, Utah and serves clients remotely across the United States and internationally. The name still comes from the Wasatch, but the company identity has evolved: precision, clarity, and disciplined modernization for clinical analytics teams.
Direct senior ownership
Clients work directly with the person designing and delivering the workflow.
Lean by design
The engagement model is built for startups and smaller CROs that need practical value quickly.
Tool-neutral where needed
R is the preferred cost-effective path; SAS remains available as a pragmatic alternative.
Review-centered AI
Automation is designed to support expert judgment, not bypass it.
Looking for a partner who can both deliver study outputs and build the workflow behind them?
Start with a conversation about your current analysis process, tooling constraints, and where R-first automation can reduce cost.
Talk to Snowbird Analytics