Project Engineer

This is a fully remote position, open to applicants in France.

📋 Description

• Execute the installation and configuration of laboratory systems.

• Integrate software into laboratory workflows, including the mapping of daily routines.

• Implement Laboratory Information System (LIS) projects.

• Serve as a reliable technical contact for customer assignments or projects.

• Contribute to the adoption of innovative technologies, such as data-driven and AI-enabled solutions.

• Collaborate with the Project Manager or Customer Services Manager, adhering to their guidance and planning.

• Propose solutions and identify technical risks.

• Prepare execution plans and relevant documentation.

• Ensure all work is thoroughly documented in internal systems.

• Complete assigned tasks in accordance with project plans, budgets, and quality standards.

• Assume full responsibility for all technical aspects of assigned tasks.

• Keep stakeholders updated on progress and potential risks.

• Exhibit flexibility and provide support during on-site customer implementations.

• Manage and execute small projects or sub-projects.

• Conduct customer training, including guidance on system data usage and reporting capabilities.

• Act as a liaison between the customer and development teams.

• Organize and carry out internal and external project handovers.

• Undertake update and upgrade projects.

⛳️ Requirements

• Bachelor’s Degree or an equivalent qualification.

• Alternatively: IT technical training coupled with experience in medical laboratory processes.

• Proven experience in implementing LIS/LIMS systems.

• Strong comprehension of laboratory processes and organization.

• Familiarity with common IT applications.

• Proficiency in Dutch and English (French is a plus).

• Basic understanding of AI/ML concepts and their applications in healthcare or laboratory settings.

• Ability to work with data flows, data quality, and structured datasets within LIS/LIMS systems.

• Awareness of AI-driven solutions in diagnostics, workflow optimization, or decision support systems.

• Familiarity with data analytics or reporting tools (such as dashboards, data extraction, and basic analysis) is advantageous.

• Capability to interpret data outputs and translate insights into actionable recommendations for customers.

• Understanding of data privacy, governance, and ethical considerations related to AI in healthcare environments.

🏝️ Benefits

• Comprehensive health benefits package.

• Opportunities for professional development and growth.

• Flexible work hours and the possibility of remote work.

• Collaborative and innovative work environment.

• Access to the latest technologies and tools in the industry.