Who it is for
Teams that need a cleaner evidence path, a lighter interpretation burden, or help choosing the right analysis route.
When the evidence is messy, we help define the analysis path, structure the work, and prepare a report that people can actually use.
Who it is for
Teams that need a cleaner evidence path, a lighter interpretation burden, or help choosing the right analysis route.
What we do
We review the dataset, recommend the analysis path, and keep the output aligned to the decision the team actually needs to make.
What you get
A review note, analysis plan, reporting package, and a result that is easier to share and act on.
We do not over-engineer a simple question.
We will flag data issues before analysis moves forward.
Human review stays in the loop for high-stakes outputs.
Selected examples from biostatx engagements — each structured around a specific decision question.
Mid-size pharmaceutical company
Challenge
A 280-subject Phase II dataset with multiple endpoints, missing data, and three active arms — the team needed a decision-ready analysis summary before an investor update.
Approach
Structured data audit, predefined analysis plan, confirmatory analysis with sensitivity checks, and a one-page executive summary structured around the decision question.
Outcome
Delivered a decision-ready report with primary/secondary endpoint results, safety summary, and a clear next-step recommendation. The brief was ready in 5 business days.
Output
Analysis plan + full report + executive summary
Academic respiratory research group
Challenge
Study design phase for a potential IPF trial — needed to define sample size, primary endpoint, and statistical framework before grant submission.
Approach
Literature review of IPF endpoint conventions, power calculation across three endpoint scenarios, simulation-based sample size estimation, and a statistical methods section draft.
Outcome
Grant submission supported by a formal power analysis memo. The funder's statistical review came back clean.
Output
Power analysis memo + statistical methods draft
Academic multi-omics group
Challenge
Transcriptomics, proteomics, and clinical chemistry data from a 60-subject cohort — the team needed a structured integration plan before committing to an analysis vendor.
Approach
Data inventory across three modalities, alignment strategy for batch effects and missingness, unsupervised clustering framework design, and a multi-omics brief covering the recommended integration path.
Outcome
The brief served as the brief for vendor selection and the basis for a subsequent analysis engagement.
Output
Integration strategy brief + vendor evaluation framework
Both are paid brief lanes. They serve different stages of the research process.
You already have data
A dataset, a results table, a clinical report — biostatx is the lane when you need to make sense of what you already have, not generate new data.
You need analysis, not a peptide
biostatx produces statistical analysis, reporting packages, and decision-ready summaries. peptide-service produces scoped briefs for synthesis, screening, and peptide-specific questions.
You want a second read
Before committing to a publication, a regulatory submission, or an investor presentation — a biostatx review adds a structured second opinion to your existing evidence.
Quick way to decide
biostatx if you have data and need analysis. peptide-service if you have a target or a peptide question that needs synthesis, evaluation, or a quote.
If you need a dataset review, a methods recommendation, or reporting support, send the basics and we'll route it quickly.
Submissions are routed into the Brown Biotech Notion intake hub.
Share just enough context to route the request well. You'll see the route, owner, approval gate, and next action after submit.