Vice President, Head of R&D

New
R
RevvityLife sciences, diagnostics
Source API remote eligibility restrictions: Finland, France, Germany; France Remote, Germany - RemoteFull-TimeVp
Salary not disclosed
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Job Details

Experience
20+ years of progressive R&D leadership experience
Required Skills
Artificial IntelligenceMachine Learning

Requirements

  • 20+ years of progressive R&D leadership experience in life sciences, diagnostics, or a closely adjacent industry.
  • Demonstrated success leading global, multi-site R&D organizations at scale.
  • Track record of delivering complex R&D programs on time and on budget, from concept through commercialization.
  • Experience developing or scaling AI-enabled, data-rich, or digitally connected products in life sciences, diagnostics, medtech, scientific instrumentation, or adjacent technology markets.
  • Deep expertise in organizational design and capability-based team structuring.
  • Experience working in close partnership with portfolio management functions.
  • Bachelor's degree in a relevant scientific or engineering discipline; an advanced degree (PhD, MD, or MBA) is strongly preferred.
  • Willingness and ability to travel internationally on a regular basis.
  • Preferred experience in diagnostics, genomics, imaging, or reagent/instrument development.
  • Preferred familiarity with FDA, CE-IVD, or ISO regulatory environments relevant to the product categories.
  • Preferred experience in organizational transformation and building R&D functions in a matrixed, global corporate environment.

Responsibilities

  • Assess the current R&D organization, identifying strengths, gaps, and opportunities.
  • Design and implement an R&D structure built around core scientific and technical capabilities.
  • Build, mentor, and develop a globally distributed R&D team.
  • Lead execution of the global R&D roadmap across the full product portfolio.
  • Translate strategic priorities into R&D programs with milestones, resource plans, and accountability frameworks.
  • Drive integration of AI, machine learning, automation, and advanced analytics into R&D.
  • Partner with Portfolio Managers to align R&D investments with business priorities and market opportunities.
  • Establish R&D governance frameworks, including stage-gate processes, KPIs, and portfolio review cadences.
  • Ensure compliance with relevant regulatory and quality standards across global R&D sites.
  • Manage R&D budget allocation and resource prioritization, and represent R&D in executive forums and cross-functional partnerships.
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