Lead the development and deployment of advanced AI systems that are transforming healthcare diagnostics.
Design and implement AI-based systems, optimizing operations for seamless integration and efficiency.
Build and maintain robust AI infrastructure to enable ongoing machine learning advancements.
Conduct in-depth data analyses to inform strategic decisions and communicate actionable insights to stakeholders.
Manage high-impact projects that align with our strategic objectives to sustain and expand our technological leadership.
Develop comprehensive roadmaps for AI initiatives to ensure they meet our ambitious healthcare innovation goals.
Uphold the highest standards of ethics and compliance across all AI initiatives, helping to define the future of ethical AI in healthcare.

Advanced degree in medical informatics, bioinformatics (or another life science discipline), medical documentation, data science, computer science, or equivalent.
Hands-on experience with data modeling and ideally experience with medical data standards (HL7 FHIR, CDISC ODM, etc.).
Proficiency in computational modeling and familiarity with medical ontologies (SNOMED CT, ICD-10, LOINC, etc.).
Agile and structured problem-solving approach, with a proven track record of taking on substantial responsibilities.
Stay informed on AI research trends, particularly in Safe AI, Ethical AI, and Fair AI.
Experience with Cloud AI/ML services (AWS, GCP, Azure) and Big Data technologies.
Understanding of the software development lifecycle and agile project methodologies.

Long-term incentives such as employee stock options (ESOP).
Competitive salary scale (TVL 11–13) starting from Q2 2026, with transparent progression.
Comprehensive benefits package including health insurance, sports club membership, and support for work–life balance.
Wide range of social activities and team days.

AI Architect / Machine Learning Engineer

Key skills