Divisions
Independent research infrastructure, organized by division
Theals supports grants, large scale data work, statistical analysis, machine learning, and publication ready writing. Each division can be scoped independently or combined end to end.
Divisions
Clear scopes, defensible methods, and deliverables designed for review, reproducibility, and publication.
Specific aims, narrative architecture, and reviewer aligned positioning. Study design coherence before execution.
Cohort definitions, data dictionaries, pipelines, and QA. Versioned logic that makes results auditable.
Analysis plans through results, with explicit assumptions, sensitivity checks, and defensible inference.
Model development or validation with decision aligned metrics, error analysis, and interpretability reporting.
Manuscripts, abstracts, and technical sections built to withstand peer review and reduce revision cycles.
Submission ready tables, figures, responses to reviewers, and dissemination focused research outputs.
Documentation, SOPs, and reproducible reporting so teams can rerun work and defend choices later.
Editorial workflows and production support for groups shipping high volume scientific content.
Triage, decision support, and revision strategy for research leaders who need speed without sloppiness.
Operating standards
Defensible assumptions
Every result is tied to explicit assumptions and a documented cohort definition, not implicit defaults.
Reproducible outputs
Versioned tables, figures, and summaries designed to be rerun, audited, and updated without drift.
Reviewer aware writing
Claims discipline, clear limitations, and narrative structure built around how reviewers actually evaluate work.
Decision aligned evaluation
Metrics and validation strategies chosen to match the real decision, not what looks impressive in isolation.
Engagement models
Division scoped
One division, one set of deliverables, defined inputs and outputs. Useful when you already have momentum.
End to end
Grant to publication packaging with one accountable throughline across data, analysis, modeling, and writing.
Rapid advisory
Short sprints to unblock decisions, structure revisions, or stress test assumptions before heavy execution.
Embedded support
Ongoing partnership for teams running multiple projects who need consistent methods and editorial rigor.
Representative outcomes and artifacts
" Built a reproducible cohort and analysis pipeline from raw extracts, producing audit ready tables and figures with versioned logic. "
Clinical research group
Cohort and methods build
" Converted reviewer feedback into a structured revision plan, strengthening claims discipline, limitations, and response to reviewers. "
Academic lab
Manuscript revision and response
" Defined a fundable proposal narrative with aligned aims, feasibility, and an analysis plan tied to reviewer facing assumptions. "
Biotech and startup team
Grant and strategy sprint