Project Manager - German Speaker
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
Leverage AI-enabled project management and analytics tools to support planning, forecasting, and decision-making.
Use data-driven insights (predictive indicators, trend analysis) to anticipate project risks, delays, or resource constraints and proactively define mitigation actions.
Oversee projects involving AI-enabled or data-driven healthcare solutions, ensuring alignment with scope, regulatory constraints, and customer expectations.
Ensure that AI-related components (where applicable) are properly considered in project scope, risk management, and quality assurance activities.
Facilitate alignment between services, product, technical, and data teams when projects involve advanced analytics or AI-assisted functionalities.
Support stakeholders’ understanding of AI-enabled project outcomes, including benefits, limitations, dependencies, and operational impacts.
Identify opportunities to improve project execution through automation, intelligent reporting, or AI-assisted monitoring of project performance.
Knowledge, Skills & Abilities
Languages: English and Fluent in German.
Education: Bachelor’s degree in Project Management, Business Administration, or a related field.
PMP or equivalent certification is preferred.
Experience Minimum of 3–5 years of experience in project management within the services sector.
Knowledge of the Healthcare Sector.
Project Management Skills
Strong project management skills, including planning, execution, and risk management.
Excellent communication and interpersonal skills.
Ability to manage multiple projects simultaneously.
Proficiency in project management software (e.g., Microsoft Project, Asana, Trello).
Strong problem-solving skills and attention to detail.
Ability to work effectively in a fast-paced and dynamic environment.
AI Data-Oriented Skills
Solid understanding of AI and data-driven concepts and how they are applied in healthcare, laboratory informatics, and service delivery.
Ability to use AI-assisted project management tools (e.g. predictive scheduling, risk scoring, automated reporting) to improve planning accuracy and execution.
Awareness of data quality, data governance, and compliance requirements when managing projects involving AI or advanced analytics.
Capability to assess and manage AI-related project risks, including dependency on data availability, model limitations, explainability, and regulatory constraints.
Familiarity with AI-supported decision-making, performance dashboards, and intelligent reporting tools.
Understanding of ethical and regulatory considerations related to AI in healthcare environments (e.g. transparency, traceability, patient data protection).
Ability to translate complex AI-related topics into clear, business-oriented communication for customers and non-technical stakeholders.
Key Competencies
Leadership and team management.
Strategic thinking and decision making, supported by data-driven insights.
Time management and organizational skills.
Negotiation and conflict resolution Adaptability and flexibility in AI-enabled and evolving project environments
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.
#LI-AD #LI-REMOTE
Apply To This Job
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
Leverage AI-enabled project management and analytics tools to support planning, forecasting, and decision-making.
Use data-driven insights (predictive indicators, trend analysis) to anticipate project risks, delays, or resource constraints and proactively define mitigation actions.
Oversee projects involving AI-enabled or data-driven healthcare solutions, ensuring alignment with scope, regulatory constraints, and customer expectations.
Ensure that AI-related components (where applicable) are properly considered in project scope, risk management, and quality assurance activities.
Facilitate alignment between services, product, technical, and data teams when projects involve advanced analytics or AI-assisted functionalities.
Support stakeholders’ understanding of AI-enabled project outcomes, including benefits, limitations, dependencies, and operational impacts.
Identify opportunities to improve project execution through automation, intelligent reporting, or AI-assisted monitoring of project performance.
Knowledge, Skills & Abilities
Languages: English and Fluent in German.
Education: Bachelor’s degree in Project Management, Business Administration, or a related field.
PMP or equivalent certification is preferred.
Experience Minimum of 3–5 years of experience in project management within the services sector.
Knowledge of the Healthcare Sector.
Project Management Skills
Strong project management skills, including planning, execution, and risk management.
Excellent communication and interpersonal skills.
Ability to manage multiple projects simultaneously.
Proficiency in project management software (e.g., Microsoft Project, Asana, Trello).
Strong problem-solving skills and attention to detail.
Ability to work effectively in a fast-paced and dynamic environment.
AI Data-Oriented Skills
Solid understanding of AI and data-driven concepts and how they are applied in healthcare, laboratory informatics, and service delivery.
Ability to use AI-assisted project management tools (e.g. predictive scheduling, risk scoring, automated reporting) to improve planning accuracy and execution.
Awareness of data quality, data governance, and compliance requirements when managing projects involving AI or advanced analytics.
Capability to assess and manage AI-related project risks, including dependency on data availability, model limitations, explainability, and regulatory constraints.
Familiarity with AI-supported decision-making, performance dashboards, and intelligent reporting tools.
Understanding of ethical and regulatory considerations related to AI in healthcare environments (e.g. transparency, traceability, patient data protection).
Ability to translate complex AI-related topics into clear, business-oriented communication for customers and non-technical stakeholders.
Key Competencies
Leadership and team management.
Strategic thinking and decision making, supported by data-driven insights.
Time management and organizational skills.
Negotiation and conflict resolution Adaptability and flexibility in AI-enabled and evolving project environments
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.
#LI-AD #LI-REMOTE
Apply To This Job