Drive the development and deployment of advanced AI systems that are transforming healthcare diagnostics.
Design and implement AI-based solutions, optimizing operations for seamless integration and maximum efficiency.
Lead the development of robust AI infrastructure to support scalable machine learning innovations.
Perform in-depth data analysis to inform strategic decisions and communicate actionable insights to stakeholders.
Manage high-impact projects that align with strategic objectives to maintain and expand our technological leadership.
Develop comprehensive roadmaps for AI initiatives, ensuring they meet our ambitious healthcare innovation goals.
Maintain the highest standards of ethics and compliance in all AI initiatives, shaping the future of ethical AI in healthcare.

Advanced degree in medical informatics, bioinformatics, another life-sciences field, medical documentation, data science, computer science, or equivalent.
Hands-on experience with data modeling and preferably 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, structured problem-solving approach and a proven track record of taking on substantial responsibilities.
Up-to-date knowledge of 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 events.

AI Architect, Machine Learning Engineer

Key skills