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

Advanced degree in medical informatics, bioinformatics (or another life sciences discipline), medical documentation, data science, computer science, or equivalent.
Practical experience in 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, structured problem-solving approach with a proven track record of taking on significant responsibilities.
Up-to-date knowledge of AI research trends, particularly 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 ownership (e.g., ESOP).
Competitive salary scale (TVL 11-13) effective 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-building events.

AI Architect / Machine Learning Engineer

Key skills