Senior Scientific Expert IVD

The Senior Scientific Expert

The Senior Scientific Expert will join the QIAGEN Germantown R&D Team in research and development of innovative products to support and strengthen the IVD immunoassay portfolio.

Tasks

• 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

Profile

• 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
• Able 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

Pay

The estimated base salary range for this position is $82,500 - $137,500. Compensation will be based on the candidate’s experience, skills, geographic location, and other job-related factors. In addition to base salary, we offer a total compensation package that includes a bonus plan and generous benefits.