Automation Laboratory Data Workflow Consultant (M/F) chez Lyon, Rhône

Gi Group Consulting, a subsidiary of GiGroup Holding, is a provider of intellectual services in the Life Sciences sector. We dedicate our expertise to supporting our clients: pharmaceutical groups, CROs, and biotechnology companies.

We are recruiting in Marcy l’Étoile an Automation Laboratory Data Workflow Consultant (M/F) for an assignment within a prestigious pharmaceutical group starting in May 2026. Our client is an international pharmaceutical laboratory committed to therapeutic progress for the benefit of patients, in collaboration with healthcare professionals. Its growth is driven by a constant pursuit of innovation across multiple therapeutic areas.

Principales responsabilités

• Deep dive into lab scientist and technician needs across mRNA CoE automation workflows and data workflows (sample management, upstream, downstream, robotic processes)
• Map and engage key stakeholders: Digitial and computational science team, lab heads, automation scientists, digital/data engineers, and IT leads and the different digital transformation pilars.
• Identify pain points, bottlenecks, and gaps in current data capture and automation processes – Leverage the analysis already in place.
• Assess current data model suitability for E2E automation and AI readiness in iLab and Benchling.
• Facilitate workshops and user story sessions across France and US teams (bilingual)
•  Design and implement an intuitive request intake process for lab automation tasks, covering experiment type, sample information/metadata, priority, required outputs, and timelines
• Map end-to-end workflows from request submission through triage, scheduling, execution, data delivery, and closure)
• Define integration requirements for barcode tube systems and auxiliary equipment (liquid handlers, centrifuges, plate readers, automated storage systems, Electronic Lab Notebook)
• Review and assess the current laboratory data model: gap analysis between data currently captured and data required for scientific reproducibility and AI/ML model training
• Propose an improved, scalable data model aligned with FAIR data principles (Findable, Accessible, Interoperable, Reusable)
• Define AI-Ready data specifications: structured data, contextual enrichment (experimental conditions, instrument metadata, Scale production, SOPs used, operator information, biological context, timestamps)
• Establish a data quality framework covering completeness, accuracy, consistency, and timeliness
• Define data annotation and labeling strategy to support ML/AI model training pipelines
• Propose integration architecture with Sanofi's data lake, cloud platforms, and AI/ML pipelines
• Draft functional and technical specifications for all digital components of automation workflows
• Create process flow diagrams and data flow diagrams
• Design and execute test plans for digital workflows, including integration testing between digital systems and robotic/automation equipment
• Manage User Acceptance Testing (UAT) with scientists and technicians, tracking defects through to formal sign-off
• Draft Standard Operating Procedures (SOPs) for all digital components
• Ensure GxP/data integrity compliance throughout documentation and testing activities, including validation considerations (IQ/OQ/PQ) where applicable
• Prepare and execute a structured handover package to automation scientists, including all specifications, SOPs, test results, and training materials
• Conduct knowledge transfer sessions with automation scientists and lab teams, with a supervised operation period and post-handover support
• Communicate advancements, key wins, and data insights to the mRNA CoE using different formats (presentations, dashboards, reports, newsletters)
• Update and maintain digital tools used to track automation progress (IObeya, MIRO, PowerPoint, Excel, etc.)
• Support and actively participate in communication activities (Digital coffee sessions, newsletters, internal communications)