Project Engineer

ppBuilding an bAI‑first organisation /b is central to Clinisys’ purpose and the impact we deliver. As a global provider of intelligent diagnostic informatics solutions, we build AI‑enabled, cloud‑based platforms to enhance diagnostic workflows across healthcare, life sciences, and public health. By applying intelligent technology thoughtfully and responsibly, we help laboratories and testing environments operate more effectively, generate meaningful insights at scale, and ultimately support healthier and safer communities. Operating across more than 30 countries, Clinisys expects all colleagues—regardless of role or function—to work confidently with AI‑enabled tools, apply digital and analytical thinking, and continuously adapt as technologies evolve, must drive an AI first sense of purpose and urgency. Clinisys has built an unrivalled reputation for deploying complex diagnostic networks and academic centres – and is the only provider to repetitively deliver to all disciplines end-to-end – at scale. Fostering healthier communities. /p h3Job Description /h3 ul liInstall and configure laboratory software systems /li liIntegrate software into laboratory workflows, including mapping daily processes /li liDeliver and implement Laboratory Information System (LIS) projects /li liAct as a subject matter expert within your field /li liServe as a trusted technical contact for customers during projects and assignments /li liSupport the adoption of emerging technologies, including data-driven and AI-enabled solutions /li liIdentify opportunities to optimise laboratory workflows and system performance /li /ul h3Responsibilities /h3 ul liWork with the Project Manager or Customer Services Manager and follow their guidance and planning. /li liMake proposals and identify technical risks, including those related to data integrity and AI-enabled functionalities, and communicate them clearly. /li liPrepare execution plans and relevant documentation. /li liEnsure all work is properly documented in internal systems (projects and aftersales). /li liDeliver assigned tasks according to project plan, budget, and quality standards. /li liTake full responsibility for all technical aspects of assigned tasks. /li liKeep stakeholders informed about progress and risks. /li liDemonstrate flexibility and support on-site customer implementations. /li liManage and implement small projects or sub-projects. /li liDeliver customer training, including guidance on system data usage and reporting capabilities. /li liAct as interface between customer and development teams. /li liOrganize and execute internal and external project handovers. /li liPerform update and upgrade projects /li /ul h3Support /h3 ul liSupport the department in coordination with the Customer Services Manager /li liProvide technical input to Sales for quotations /li liContribute to continuous improvement initiatives /li liIdentify opportunities for automation, advanced analytics, and AI-driven optimisation in laboratory workflows and system usage /li /ul h3Knowledge, Skills Abilities /h3 pCore

Requirements:
/p ul liBachelor’s Degree or equivalent /li liAlternatively: IT technical training with experience in medical laboratory processes /li liExperience in implementation of LIS / LIMS systems; strong understanding of laboratory processes and organization /li liKnowledge of common IT applications /li liExperience with: Laboratory Information Systems (LIS) / LIMS, Healthcare communication standards (HL7, ASTM, IHE) /li liOperating systems, networking, virtualization /li liFluency in Dutch and English (French is an asset) /li /ul h3AI / Data Digital Skills /h3 ul liBasic understanding of AI/ML concepts and their application in healthcare or laboratory environments. /li liAbility to work with data flows, data quality, and structured datasets within LIS/LIMS systems. /li liAwareness of AI-driven solutions in diagnostics, workflow optimization, or decision support systems. /li liFamiliarity with data analytics or reporting tools (e.g., dashboards, data extraction, basic analysis) is an asset. /li liAbility to interpret data outputs and translate insights into practical recommendations for customers. /li liUnderstanding of data privacy, governance, and ethical considerations related to AI in healthcare environments. /li /ul pThis role requires a working knowledge of Artificial Intelligence (AI) technologies and the ability to leverage them to improve processes and outcomes. A core understanding of AI concepts is required and the candidate must be able to demonstrate the use of AI tools in a professional setting. /p h3Location /h3 pGhent, Belgium /p h3Salary /h3 p€48,223
- €60,279
- €72,335 (per annum, depending on experience, skills, and qualifications) /p h3Onboarding /h3 pAs part of our onboarding process, all new employees will be required to attend / travel to the office on their first day of employment. This requirement is essential for onboarding activities, including the i