Head of AI - NLP Healthtech
AIHybrid — Paris
Published on 2026-11-10
These details were extracted automatically from the original listing. They may not be complete or fully up to date — it's worth checking the original job post.
About this role
Lead Lifen’s AI strategy across healthcare products and clinical research. Guide a team developing NLP and language-model solutions for complex, sensitive medical data, and turn technical advances into useful products.
About the company
Lifen is a healthtech platform that helps hospitals and clinics exchange medical documents and connect care workflows.
The team
AI team
Stack
NLPLarge language modelsMachine learning
What you'll do
- Set AI priorities and roadmap, balancing in-house development, partnerships, and existing solutions.
- Translate complex AI work into useful products for care teams and clinical research.
- Coordinate AI priorities across product areas and advise on investment and exploration.
- Develop team members and technical leads through clear goals, feedback, and autonomy.
- Evaluate emerging AI technologies and lead proofs of concept where appropriate.
- Represent Lifen’s AI vision to internal teams, leadership, clients, and partners.
What we're looking for
- Experience defining and executing an AI or machine-learning strategy in a technology company, scale-up, or comparable environment.
- At least two years of direct management experience with a data, AI, machine-learning, or engineering team.
- Technical credibility in NLP, large language models, information extraction, or data structuring.
- Ability to connect technology choices to user needs, product outcomes, and business results.
- Ability to engage both technical and non-technical stakeholders.
Nice to have
- Experience in healthcare, clinical data, medtech, biotech, or another regulated sector.
- Experience with applied research, publications, conferences, or AI-related public speaking.
- Experience working with sensitive data and decisions involving sovereignty, privacy, and compliance.
Hiring process
- 30-minute screening with the Talent Acquisition Manager.
- Approximately 45-minute interview with the CTO.
- Case study and approximately 90 minutes of discussion with the AI team.
- Final 60–90-minute interview with Tech and Research leadership.