Platform R&D Lead — Spatial Proteomics Innovation

Resolute Bio

København

On-site

DKK 1,200,000 - 1,600,000

Full time

7 days ago
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Job summary

Resolute Bio seeks a dynamic Head of Platform R&D in Copenhagen to steer the wet-lab technology roadmap for the ResOne spatial proteomics platform. You will lead a growing team of scientists and research associates, combining hands-on science with strategic direction to deliver scalable workflows.

You will collaborate with Platform Operations, Software and ML teams to ensure features are scalable, validated, and production-ready, using AI tools where appropriate.

Qualifications

  • PhD in proteomics, analytical chemistry, biochemistry, or related field, or equivalent experience.
  • 5+ years industrial experience in mass-spectrometry-based proteomics.
  • Proven leadership of R&D teams with platform technology delivery.

Responsibilities

  • Set the R&D priorities to improve sensitivity, throughput, and automation across the spatial proteomics workflow.
  • Build and support the team through recruitment, mentoring, and rigorous experimental design.
  • Develop new capabilities and evaluate readouts such as spatial phosphoproteomics.
  • Shape the new lab by evaluating instruments and negotiating purchases.
  • Bring advances into routine production with validated workflows and documentation.
  • Plan the 12-month roadmap and manage budgets, capacity, and trade-offs with CSO and leadership.

Skills

Team leadership
Mass-spectrometry
Automation
Project management
Scientific decision making

Education

PhD in proteomics or related field

Tools

TimsTOF
Orbitrap
Automated liquid handling

Job description

Resolute Bio seeks a dynamic Head of Platform R&D in Copenhagen to steer the wet-lab technology roadmap for the ResOne spatial proteomics platform. You will lead a growing team of scientists and research associates, combining hands-on science with strategic direction to deliver scalable workflows.

You will collaborate with Platform Operations, Software and ML teams to ensure features are scalable, validated, and production-ready, using AI tools where appropriate.

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