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Qiagen

Senior Scientific Expert

20 March 2026

Full-Time Middleton

Department

Health & Biotech

Job Category

Health & Biotech

Description

  • Research adaptive immunity signaling pathways and kinetics of biomarker expression in response to antigen stimulation, with a specific focus on tuberculosis (TB)
  • Understand current and emerging technologies in the field of TB diagnostics
  • Research novel biomarkers that can be integrated or added as assays on existing QIAGEN product platforms, including ELISA, PCR, POCT and NGS
  • Familiarity with bioinformatics tools
  • Provide recommendations for innovative technologies and platforms to support QuantiFERON product portfolio
  • Provide technical expertise as part of discussions with potential external collaborators.
  • Lead meetings to outline new product opportunities with cross-functional teams including Business Development, Marketing, R&D, Clinical Affairs, Medical Affairs, Regulatory Affairs and Operations
  • Support product lifecycle activities following QIAGEN global design control processes for IVD regulated products, from feasibility, analytical and clinical validation in product development up to lifecycle management for registered products
  • Lead R&D innovation team activities and fill role as primary R&D stakeholder on project teams
  • Mentor and train junior scientists on product innovation concepts

Qualifications

  • Ph. D. degree in Microbiology, Immunology, Molecular Biology, or related field or MS with a minimum of 5 years of IVD industry experience
  • In-depth knowledge of scientific discovery for biomarkers for infectious disease
  • Experience with statistical software programs such as GraphPad Prism or JMP or Minitab
  • Understanding of TB pathology and interaction with the host immune system recommended, but not required
  • Experience with IVD product development in a regulated environment recommended.
  • Experience with AI/ machine learning tools is beneficial
  • Ability to present to executive and senior leadership
  • Able to connect science and business
  • Excellent analytical, problem solving, time management and interpersonal skills
  • Strong background in data analysis
  • Strong capability to work in a collaborative team environment
  • Strong organizational skills

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