Pharma AI Strategy & Scientific Analytics Lead

Falcon Smart IT (FalconSmartIT)

Foster City (CA)

In loco

USD 120.000 - 160.000

Tempo pieno

14 giorni+

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Descrizione del lavoro

Falcon Smart IT is seeking an AI Scientific Business Analyst to bridge life sciences expertise with AI product delivery. You will partner with Product Managers, AI Engineers, Data teams to define and deliver AI-powered solutions that support clinical research and drug development.

The ideal candidate has a strong scientific background, understands clinical development, translates complex business needs into structured AI requirements, and leads UAT and requirements artifacts to drive measurable

Competenze

  • Bachelor's or Master's degree in Life Sciences or related field.
  • 8+ years of pharmaceutical R&D experience.
  • 5+ years of experience defining KPIs and metrics.
  • Strong written and verbal communication skills.

Mansioni

  • Define AI use cases with stakeholders, including problem framing, success criteria, and measurable outcomes.
  • Translate business needs into AI-ready requirements.
  • Own UAT planning and execution with Testing teams.
  • Document URS/FRS and acceptance criteria.
  • Lead data specifications and AI input/output definitions in partnership with Data/AI teams.

Conoscenze

Business analysis
AI requirements
Clinical development
KPIs & metrics
Communication

Formazione

Bachelor's or Master's in Life Sciences

Strumenti

Jira
Azure DevOps
SQL

Descrizione del lavoro

Falcon Smart IT is seeking an AI Scientific Business Analyst to bridge life sciences expertise with AI product delivery. You will partner with Product Managers, AI Engineers, Data teams to define and deliver AI-powered solutions that support clinical research and drug development.

The ideal candidate has a strong scientific background, understands clinical development, translates complex business needs into structured AI requirements, and leads UAT and requirements artifacts to drive measurable

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