Technical Project Engineer, Laboratory Systems & Interfaces

Building an AI‑first organisation 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. 

Job Description

• Install and configure laboratory software systems

• Integrate software into laboratory workflows, including mapping daily processes

• Deliver and implement Laboratory Information System (LIS) projects

• Act as a subject matter expert within your field

• Serve as a trusted technical contact for customers during projects and assignments

• Support the adoption of emerging technologies, including data-driven and AI-enabled solutions

• Identify opportunities to optimise laboratory workflows and system performance

Responsibilities

• Make proposals and identify technical risks, including those related to data integrity and AI-enabled functionalities, and communicate them clearly.

• Prepare execution plans and relevant documentation.

• Ensure all work is properly documented in internal systems (projects and aftersales).

• Deliver assigned tasks according to project plan, budget, and quality standards.

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

• Keep stakeholders informed about progress and risks.

• Demonstrate flexibility and support on-site customer implementations.

• Manage and implement small projects or sub-projects.

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

• Act as interface between customer and development teams.

• Organize and execute internal and external project handovers.

• Perform update and upgrade projects

• Work with the Project Manager or Customer Services Manager and follow their guidance and planning.

Support

• Support the department in coordination with the Customer Services Manager

• Provide technical input to Sales for quotations

• Contribute to continuous improvement initiatives

• Identify opportunities for automation, advanced analytics, and AI-driven optimisation in laboratory workflows and system usage

Knowledge, Skills & Abilities

Core Requirements:

• Degree, vocational qualification or equivalent professional experience in IT, software engineering, computer science or a related technical discipline.

• Programming or scripting experience, particularly involving system interfaces, data exchange or application integration.

• Experience connecting software platforms, laboratory instruments, analysers or other technical devices.

• Knowledge of healthcare interoperability standards such as HL7, ASTM or IHE.

• Understanding of operating systems, networking and virtualised environments; LIS, LIMS or laboratory knowledge is beneficial.

• Fluent German and professional proficiency in English.

AI / Data & Digital Skills

• Basic understanding of AI/ML concepts and their application in healthcare or laboratory environments.

• 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 (e.g., dashboards, data extraction, basic analysis) is an asset.

• Ability to interpret data outputs and translate insights into practical recommendations for customers.

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

This 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 must be able to demonstrate the use of AI tools in a professional setting.

Location: Ghent, Belgium

Salary: €48,223 - €60,279 - €72,335 (per annum, depending on experience, skills, and qualifications)

Onboarding
As 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 identity verification, completion of necessary documentation, receiving your IT equipment, introductions to key team members, and orientation to Clinisys policies and procedures.

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