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 dia…
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 dia…
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 dia…
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 dia…
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$52k–$103k/yr
Full-time
bachelor degree, professional certificate
Posted 54d ago
~40 hrs/week
Remote in Belgium, Netherlands
Responsibilities
Oversee the delivery of AI-enabled, data-driven healthcare solutions while ensuring alignment with regulatory requirements and customer expectations. Leverage predictive analytics and AI tools to optimize project planning, forecasting, and resource allocation.
Requirements
Requires a Bachelor's degree in Project Management or Business Administration and 3-5 years of experience in healthcare or software implementation. Proficiency in AI/ML concepts and project management tools is essential, along with fluency in English and German.
Full job description
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
Key Responsibilities
Leverage AI-enabled project management and analytics tools to support planning, forecasting, and decision-making.
Use predictive analytics, trend analysis, and scenario modelling to anticipate risks, delays, and resource constraints.
Oversee projects involving AI-enabled, data-driven, or digital healthcare solutions, ensuring alignment with scope, regulatory requirements, and customer expectations.
Ensure that AI-related components (models, data pipelines, integrations) are properly reflected in project scope, timelines, and quality assurance.
Assess AI model dependencies (data availability, model performance, retraining cycles, explainability constraints) and incorporate them into project planning.
Facilitate alignment between services, product, technical, and data/AI teams in projects involving advanced analytics or AI functionalities.
Support stakeholders in understanding AI-driven outcomes, including benefits, limitations, and operational impact.
Drive adoption of automation, intelligent reporting, and AI-assisted monitoring tools to improve project execution.
Monitor project performance using data dashboards, KPIs, and AI-driven performance insights Identify opportunities to introduce AI-enabled automation (e.g., workflow optimisation, resource allocation, reporting efficiencies).
Ensure compliance with data governance, privacy (e.g. GDPR), and AI-related regulatory requirements in healthcare contexts.
Contribute to continuous improvement initiatives by embedding data analytics and AI-driven insights into delivery practices.
Knowledge, Skills & Abilities
Languages: English (mandatory), Fluent in German
Education: Bachelor’s degree in Project Management, Business Administration, or related field PMP or equivalent certification
Preferred Experience: 3–5 years of experience in project management within services or healthcare environments.
Experience with digital, data-driven, or software implementation projects.
Exposure to AI-enabled or analytics-driven projects is a strong asset.
Ability to manage complex, cross-functional and data-driven projects.
Proficiency with project management tools (e.g., Microsoft Project, Asana, Trello) Strong analytical thinking and structured problem-solving skills.
Ability to manage multiple priorities in a fast-paced environment.
AI, Data & Digital Skills
Solid understanding of AI/ML concepts, including supervised/unsupervised learning, predictive modelling, and intelligent automation.
Ability to apply AI and data-driven approaches to improve project planning, delivery, and decision-making.
Experience with or exposure to AI-assisted project management tools (e.g. predictive scheduling, automated risk scoring, intelligent reporting).
Understanding of data lifecycles, including data collection, transformation, quality management, and governance.
Ability to interpret outputs from AI models, dashboards, and analytics tools and translate them into actionable insights.
Familiarity with data visualization tools (e.g., Power BI, Tableau or similar).
Basic understanding of how AI models are deployed and integrated into enterprise systems (APIs, cloud platforms, workflows).
Awareness of model performance considerations, including bias, accuracy, explainability, and monitoring.
Ability to identify opportunities for process automation using AI or workflow orchestration tools
Experience working with structured datasets, KPIs, and performance metrics to track project and operational outcomes.
Understanding of AI governance frameworks, including transparency, auditability, and risk management.
Strong awareness of ethical and regulatory requirements (e.g., GDPR, healthcare data compliance) in AI-driven environments.
Ability to engage with technical teams (data scientists, engineers) and translate business/project needs into technical requirements.
Capability to explain AI-related concepts clearly to non-technical stakeholders and customers.
Key Competencies
Leadership and team management.
Strategic thinking and data-driven decision-making.
Strong stakeholder management and communication.
Time management and organizational skills.
Negotiation and conflict resolution.
Adaptability in AI-enabled and evolving digital environments.
Continuous learning mindset with openness to emerging AI technologies.
Location: Ghent, Belgium Salary: €52,408 – €65,502 – €78,602 (per annum, depending on experience, skills, and qualifications)
Location: Netherlands Salary: €68,338 – €85,423 – €102,508 (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.
*Clinisys acquired Orchard Software July 2025 (see press release https://tinyurl.com/clinisysnews)*
Clinisys delivers over 45 years of laboratory informatics expertise – built through the combined strength of trusted companies and specialists brought together under one global brand.
Today, we support more than 7,000 labs across 42 countries, helping them manage data, maximize throughput, and ensure quality across healthcare, contract services, public health, water quality, environmental sciences, toxicology, crop science, food & beverage, and life sciences industries. With our newest addition of proven solutions, we’ve also expanded our reach into physician office, reference, and veterinary laboratories, further strengthening our commitment to excellence and innovation.
In the future, we aim to expand into biotech and pharma to continue growing our mission of enabling healthier and safer communities.
Our solutions are designed to scale for the evolving needs of modern labs, and we’re committed to supporting every type of laboratory or remote testing environment – from public or private sector, in-house or outsourced. With headquarters in Tucson, AZ, and key offices in Raleigh, NC, Carmel, IN, Ghent BE, Woking UK, Bangalore IN, Kolkata IN, and across Europe, Clinisys is proud to be the global leader in lab informatics, holding ~24% of the global market share.
At our core is a people-first culture – driven by passionate experts who’ve spent decades helping labs run smarter and more efficiently.
Informatics is more than technology; it’s our path to a more connected, resilient, and thriving world.
𝗗𝗶𝘀𝗰𝗼𝘃𝗲𝗿 𝗵𝗼𝘄 𝗖𝗹𝗶𝗻𝗶𝘀𝘆𝘀 𝗶𝘀 𝘁𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗶𝗻𝗴 𝗹𝗮𝗯 𝗶𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗰𝘀 – 𝗰𝗼𝗻𝗻𝗲𝗰𝘁 𝘄𝗶𝘁𝗵 𝘂𝘀 𝗮𝗻𝗱 𝗯𝗲 𝗽𝗮𝗿𝘁 𝗼𝗳 𝘁𝗵𝗲 𝗳𝘂𝘁𝘂𝗿𝗲 𝗼𝗳 𝗴𝗹𝗼𝗯𝗮𝗹 𝗵𝗲𝗮𝗹𝘁𝗵.
Offices: UK, Europe, North America and India, KT16 9LE, GB · 3300 E Sunrise Drive, Tucson, AZ AZ 85718 , US · 15 PL de la Nation, Paris, France 75011 , BE · Sluisweg 2, Gent, Belgium 9000, BE · Am Klingenweg 6, Walluf, Hesse 65396 , DE
Information TechnologyHealth CareConsultingSoftwareMedical
How many Technology jobs are open in Utrecht, Netherlands right now?
There are currently 442 open technology positions in Utrecht, Netherlands listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Technology roles in Utrecht, Netherlands?
Companies currently hiring include Capgemini, Rabobank, IG&H, Instacart, Keylane, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Technology jobs in Utrecht, Netherlands?
Yes — 375 of the 442 open technology positions offer remote or hybrid work (48 remote, 327 hybrid).
How do I apply for Technology jobs in Utrecht, Netherlands?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.