Engineer Jobs

About The Position

Requirements

• Bachelor’s Degree or equivalent
• Alternatively: IT technical training with experience in medical laboratory processes.
• Experience in implementation of LIS / LIMS systems.
• Strong understanding of laboratory processes and organization.
• Knowledge of common IT applications.
• Experience with: Laboratory Information Systems (LIS) / LIMS.
• Experience with: Healthcare communication standards (HL7, ASTM, IHE).
• Experience with: Operating systems, networking, virtualization.
• Fluency in German and English.
• 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.
• Understanding of data privacy, governance, and ethical considerations related to AI in healthcare environments.

Nice To Haves

• French is an asset.
• 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.

Responsibilities

• Carry out the installation and configuration of laboratory systems, integrate software into laboratory workflows (including mapping of daily routines), and implement LIS projects.
• Act as a trusted technical contact when working on customer assignments or projects.
• Contribute to the adoption of emerging technologies, including data-driven and AI-enabled solutions, to optimize laboratory workflows and system performance where relevant.
• Work with the Project Manager or Customer Services Manager and follow their guidance and planning.
• 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.
• 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.