Services

Statistical, analytical, and communication support built for scientific organizations.

We work at the intersection of quantitative rigor and practical execution, helping teams answer high-value questions with methods they can trust.

Biostatistics

Modeling and inference for complex scientific decisions

Bayesian modeling and posterior decision support
Longitudinal, survival, and hierarchical models
Endpoint strategy and uncertainty quantification
Adaptive and observational study analysis

Scientific data engineering

Reproducible pipelines for real-world scientific data

Dataset cleaning, harmonization, and provenance review
Assay, biomarker, and operational data integration
Quality control layers for repeatable analysis
Internal dashboards and analysis-ready tables

Scientific communication

Deliverables designed for technical and executive audiences

Analytical memos and decision-support summaries
Figures, charts, and stakeholder-friendly explanations
Board and investor-ready scientific narratives
Translating model outputs into next-step decisions

Common engagements

Typical ways companies bring us in.

Short diagnostic sprint

Audit a dataset, identify statistical risks, and outline a better analysis path.

Milestone-focused project

Support an upcoming readout, launch, validation study, or executive decision.

Embedded scientific analytics partner

Provide ongoing support when a team needs senior analytical capability without immediate full-time hiring.