Senior Quality & Digital QMS Lead – Life Sciences

EY; Las Vegas (NV); Teletrabalho; USD 97 000 - 202 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Medical and dental coverage

401(k) plans

Paid time off

Resumo da oferta

EY is seeking a Senior in Supply Chain Manufacturing Quality to connect QA, QC, laboratory, and manufacturing needs with deployable technology across pharmaceutical, biotechnology, and medical-device clients. You will work from quality-process assessments through validation, deployment, and stabilization across the delivery lifecycle.

You will collaborate with QA, QC, regulatory, IT, and data teams to translate workflows into compliant, testable requirements and AI-enabled quality workflows with

Qualificações

• Bachelor's degree in life sciences or related field.
• Experience in Life Sciences quality, QA/QC, or laboratory systems.
• Experience producing technical delivery artifacts and validation evidence.
• Ability to travel as needed; travel 80-100% may be required.
• Authorized to work in the U.S. without sponsorship.

Responsabilidades

• Assess quality and laboratory workflows, user needs, and data points through interviews and data review.
• Document process flows, requirements, data mappings, and interface requirements for digital quality solutions.
• Support design and implementation of quality-domain capabilities across deviations, CAPA, change control, and release.
• Design and improve digital-quality workflows using eQMS/QMS platforms and integrations with enterprise systems.
• Configure or prototype solution components and document design decisions for review.

Descrição da oferta de emprego

EY is seeking a Senior in Supply Chain Manufacturing Quality to connect QA, QC, laboratory, and manufacturing needs with deployable technology across pharmaceutical, biotechnology, and medical-device clients. You will work from quality-process assessments through validation, deployment, and stabilization across the delivery lifecycle.

You will collaborate with QA, QC, regulatory, IT, and data teams to translate workflows into compliant, testable requirements and AI-enabled quality workflows with