Senior Life Sciences Manufacturing & AI Transformation

EY; Tucson (AZ); À distance; USD 110 000 - 200 000; Plein temps

Résumé du poste

EY is seeking a Senior Life Sciences Manufacturing professional to design, build, test, and deploy digital solutions for regulated plant operations, connecting manufacturing processes with analytics and AI-enabled workflows.

You will work with pharmaceutical, biotechnology, and medical-device clients across the delivery lifecycle, from assessments through deployment and stabilization, collaborating with operators, engineers, IT, and data teams.

Qualifications

• Bachelor's degree in engineering or life sciences.
• 3+ years of experience in Life Sciences manufacturing or related field.
• Experience in regulated pharma/biotech environments.
• Experience producing requirements, process maps, data mappings, interface specifications, configuration documents, test scripts, or deployment materials.
• Experience collaborating with operational and technical teams to investigate requirements and resolve issues.

Responsabilités

• Assess workflows, user needs, and data gaps through observations and reviews.
• Document processes, user stories, and data mappings for digital manufacturing solutions.
• Support design and implementation of MES/MOM, eDHRs, recipe management, and plant performance reporting.
• Trace information across MES/MOM, ERP, LIMS, QMS, historians, SCADA, DCS/PLC, and OT/IT interfaces.
• Develop and review equipment and batch hierarchies, data-quality rules, and contextualized datasets.

Connaissances

Manufacturing & quality understanding

Manufacturing technology skills

Data & integration skills

Delivery discipline

Technical communication

Regulated-delivery awareness

Analytical judgment

Formation

Bachelor's degree in engineering or life sciences

3+ years experience in Life Sciences manufacturing

Experience in regulated environments

Outils

MES/MOM

eDHRs

LIMS

QMS

SCADA

OPC UA

Description du poste

EY is seeking a Senior Life Sciences Manufacturing professional to design, build, test, and deploy digital solutions for regulated plant operations, connecting manufacturing processes with analytics and AI-enabled workflows.

You will work with pharmaceutical, biotechnology, and medical-device clients across the delivery lifecycle, from assessments through deployment and stabilization, collaborating with operators, engineers, IT, and data teams.