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.
Role Description
The role is responsible for leading end‑to‑end project delivery, with a focus on healthcare solutions that may include AI‑enabled or data‑driven components. It combines strong project management fundamentals with data‑driven planning, risk management, and stakeholder coordination. The role ensures projects are delivered on time, within scope and budget, while leveraging analytics, automation, and AI‑assisted tools to improve decision‑making and execution.
Define project scope, objectives, deliverables, and success criteria in collaboration with stakeholders and senior leadership.
Develop and maintain comprehensive project plans, including timelines, milestones, dependencies, and resource allocation.
Oversee projects involving AI‑enabled or data‑driven healthcare solutions, ensuring alignment with regulatory requirements, quality standards, and customer expectations.
Use AI‑enabled project management, analytics, and predictive indicators to forecast risks, identify delays or resource constraints, and proactively implement mitigation actions.
Ensure AI‑related components are appropriately addressed within project scope, risk management, quality assurance, and operational planning.
Monitor project progress, resource utilization, and budget performance, making adjustments as needed to ensure successful delivery.
Conduct regular project reviews, audits, and status reporting, documenting risks, issues, decisions, and lessons learned.
Facilitate clear, consistent communication with stakeholders, managing expectations and providing transparent updates on progress, risks, and outcomes.
Support stakeholder understanding of AI‑enabled outcomes, including benefits, limitations, dependencies, and operational impact.
Knowledge, Skills & Abilities
Project Management Skills
Capability to assess and manage AI-related project risks, including dependency on data availability, model limitations, explainability, and regulatory constraints.
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.
Equal Opportunity Statement
Clinisys is committed to fostering an inclusive and respectful workplace. In accordance with the German General Equal Treatment Act (AGG), we welcome applications from all individuals regardless of gender identity, including male, female, and diverse. We want to make it clear that all qualified candidates will be equally assessed and considered for employment.
We encourage applicants from all backgrounds to apply and help us advance our mission to improve diagnostic workflows and public health outcomes across communities.
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