Product Content Specialist III

Thermo Fisher Scientific•Pittsburgh, PA
•Onsite

About The Position

As a Product Content Specialist III at Thermo Fisher Scientific, you will manage and enhance technical product content so it is accurate, structured, and discoverable on the company’s global web platform. You will coordinate with internal business divisions to launch products and apply scientific knowledge—particularly in molecular biology and genomics—to improve relevant product information. The role supports revenue growth by helping customers search for, evaluate, select, and purchase scientific products. You will gather, review, publish, and improve product attributes, descriptions, images, taxonomy, terminology, and content relationships. You will work with business, scientific, technical, clinical, digital, supplier, and other stakeholders to resolve content gaps and validate information. The role also uses emerging and AI-enabled tools responsibly for content enrichment, classification, quality assurance, and workflow efficiency, with appropriate human review.

Requirements

  • Bachelor's degree in a scientific field, preferably molecular biology, genetics, genomics, biochemistry, cell biology, biotechnology, biomedical science, or a related discipline.
  • Ability to interpret technical specifications, applications, product attributes, and relevant scientific or clinical terminology.
  • Ability to identify when information requires validation by appropriate technical, Regulatory, Legal, Product Management, supplier, clinical, or other authoritative sources.
  • At least 5 years of relevant experience with genomics, molecular biology or chromatography technical product information, digital product content, product data, or a related field.
  • Strong spelling, grammar, editing, and writing skills, with exceptional attention to scientific and technical accuracy.
  • Strong problem-solving and analytical skills, including the ability to identify patterns, gaps, inconsistencies, and opportunities for content and data improvement.
  • Ability to work independently and effectively within a team, with strong project and time-management skills and the ability to manage multiple priorities and time-sensitive situations.
  • Excellent verbal and written communication skills, including the ability to communicate project requirements, progress, risks, and deadlines to scientific, technical, clinical, digital, and business stakeholders.
  • Curiosity and adaptability, with willingness to learn emerging technologies and evolve skills as content platforms, search, and AI capabilities advance.

Nice To Haves

  • Experience working with product information management (PIM), content management systems (CMS), taxonomy, or structured product data.

Responsibilities

  • Coordinate new product launches and content enhancements by collecting and reviewing product attributes, descriptions, and images from internal business divisions.
  • Follow product authoring procedures to publish accurate and complete product information that meets corporate style standards, brand guidelines, and quality expectations.
  • Interpret technical specifications, product applications, and terminology using scientific knowledge.
  • Apply molecular biology and genomics knowledge to relevant products and workflows.
  • Identify product attributes and relationships that support customer search, filtering, comparison, and product selection.
  • Consider relevant molecular biology workflows, including DNA and RNA sequencing, real-time PCR (qPCR), microarray, genomic, and gene-expression workflows.
  • Identify content gaps, inconsistencies, and data-quality issues, and partner with stakeholders to resolve them and validate information when needed.
  • Use emerging and AI-enabled tools responsibly for content enrichment, classification, quality assurance, and workflow efficiency, with appropriate human review.
  • Communicate with business partners, IT, and colleagues to deliver content on time.
  • Collaborate across business, scientific, technical, clinical, and digital teams on content initiatives and continuous improvement, including through PPI.
  • Support optimization of product attributes, taxonomy, terminology, and content relationships to improve consistency, discoverability, and machine readability across digital platforms.
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