Remote Fractional CTO — Bayesian Modeling & Delivery Leader

Go Fractional

United States

À distance

USD 165 000 - 331 000

Temps partiel

Il y a 43 heures
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Résumé du poste

Go Fractional is seeking a Fractional / Contract Chief Technology Officer to finalize technical scope, oversee a development partner, and ensure delivery against budget and schedule. The role requires deep Bayesian modeling expertise and the ability to translate complex data science work into actionable plans.

Working with the CEO and partner, you will define milestones, acceptance criteria, and governance, while maintaining scope discipline, risk registers, and clear reporting on progress and

Qualifications

  • Experience building or independently validating hierarchical Bayesian models with longitudinal or sequential updating.
  • Senior technical leadership experience, preferably including fractional CTO engagements with founder-led companies.
  • Experience refining software scopes and managing external development partners against defined budgets, schedules, and acceptance criteria.
  • Healthcare software experience involving sensitive clinical data, secure architecture, interoperability, and clinical terminology.

Responsabilités

  • Review product specs, assets, and partner scope; reconcile proposals with requirements.
  • Define deliverables, responsibilities, exclusions, sequencing, and acceptance criteria.
  • Establish milestones with owners, dates, thresholds, and evidence for acceptance.
  • Assess feasibility including resources, data readiness, security, and dependencies.
  • Maintain scope discipline and document changes with cost/schedule impact.
  • Provide concise reporting on milestone status, budget exposure, and decisions.
  • Oversee release readiness, repositories, infrastructure, and documentation.

Connaissances

Bayesian modelling
Technical leadership
Partner management
Regulatory & security awareness
Healthcare software

Description du poste

Go Fractional is seeking a Fractional / Contract Chief Technology Officer to finalize technical scope, oversee a development partner, and ensure delivery against budget and schedule. The role requires deep Bayesian modeling expertise and the ability to translate complex data science work into actionable plans.

Working with the CEO and partner, you will define milestones, acceptance criteria, and governance, while maintaining scope discipline, risk registers, and clear reporting on progress and

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