Scientific Liaison | GenomeWeb

Scientific Liaison

Job Location
2477 55th Street
Boulder, CO 80301

We offer a competitive benefits package and an incentive-based compensation package starting at $60K.

Job Description

The Scientific Liaison will be our dedicated marketing personnel to write application notes and peer-reviewed articles, travel with sales team, and present highly technical sequencing information at industry conferences.


Primary Duties and Responsibilities
• Generate technical marketing and sales collateral including content for websites, slide presentations, white papers, posters and peer-

   reviewed publications 
• Attend scientific conferences to gain competitive intelligence, present product offerings, and gather customer requirements. Present

   these findings to internal teams.
• Reading 10-20 journal articles per month and report findings to internal teams.
• Become familiar with key trends in NGS and clinical genomics
• Support the field sales team with on-demand presentations
• Liaise between marketing, RnD, and existing collaborators
• Ability to travel >=50% of the time

Requisite Education or Special Study
• PhD in molecular biology or related field
• High degree of emotional intelligence, ability to communicate effectively with customers at all levels 
• Strong cancer background a plus

Requisite Experience
• 2+ years hands-on experience with NGS applications 
• Extensive record or publications and/or technical presentations
• Wide exposure to various types of genomic experiments, methodologies, and platforms
• Outstanding verbal and written communication

About Our Organization

ArcherDX, the NGS applications company, is developing and commercializing a novel approach to target enrichment chemistry. Next-generation sequencing technology based on Anchored Multiplexed PCR (AMP™) generates a highly enriched library of gene targets of interest for downstream genomic sequencing. Complemented by proprietary software and readily accessible reports, our technology enables dramatic enhancement in mutation detection speed as well as complex mutation identification and discovery.

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