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AI role · Open offer

Data Scientist NLP — santé fédérée

Owkin

Permanent (CDI)
Full-time
Senior
Clinical NLP
Hybrid
14 Rue Charlot, Paris, IDF 75003, France · Hybrid
Paris, France
EUR 60k–80k/year + BSPCE

This listing is optimized for AI-native talent: clear skills and tools so candidates know if they fit before they apply—and so you spend less time screening mismatches.

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At a glance

How you'll work, where, and key listing dates.

Employment: Permanent (CDI), Full-time
Workplace: Hybrid
Location: 14 Rue Charlot, Paris, IDF 75003, France · Hybrid
Compensation: EUR 60k–80k/year + BSPCE
Experience level: Senior
Team: Clinical NLP
Benefits & perks: Mission santé, RGPD-by-design, hybrid Paris 3e.
How to apply: NLP clinique ou NER sur données sensibles avec garde-fous.
Company site: www.owkin.com
Listed: Jul 18, 2026
Updated: Aug 3, 2026

About this role

What the team is looking for and how this position fits.

Owkin is hiring a Senior Data Scientist NLP — santé fédérée on the Clinical NLP team (Hybrid · Paris, France). This is a hands-on role in NLP & language AI—not a generic “AI enthusiast” post.

You will own language understanding, generation, and quality metrics end to end: problem framing, offline evaluation, safe rollout, and iteration from production signals. Success is measured with clear metrics (quality, latency, cost, or business KPIs)—not slide decks alone.

Owkin applique le federated learning et le NLP clinique pour la recherche en oncologie et maladies chroniques.

Data Scientist NLP santé (hybride Paris 3e) : modèles sur données cliniques sensibles, RGPD-by-design et collaboration hôpitaux partenaires.

À propos de Owkin

Scale-up française IA santé ; partenariats pharma et académiques.
Approche privacy-preserving et validation réglementaire.
Équipes Paris, NYC et remote Europe.

Missions

Fine-tuner modèles NLP/NER sur corpus médicaux anonymisés.
Concevoir protocoles eval avec cliniciens.
Documenter traçabilité pour audits qualité.

Stack & environnement

Python, PyTorch, Hugging Face, Docker, workflows HDS.
Hybride Paris 3e.

Profil recherché

4+ ans NLP ; expérience santé ou données sensibles fort plus.
Éligibilité travail en France.

Skills we're hiring for

What each capability means for this role—not a keyword checklist.

Python
Production Python for data pipelines, model code, APIs, and automated tests—not notebook-only workflows.
PyTorch
Training and inference with PyTorch: reproducible experiments, checkpointing, and deployment-minded exports.
NLP
Text pipelines: tokenization, fine-tuning, evaluation, and guardrails for user-facing language features.
Machine Learning
Practical Machine Learning experience applied to language understanding, generation, and quality metrics in production or rigorous pilots.

Tools & stack

Platforms and products mentioned for this role (APIs, IDEs, vector DBs, CRMs, design tools, etc.).

DockerTool
Containerized services and reproducible dev environments for ML and LLM workloads.

You're a strong fit if…

Tailored to this listing—use it as a self-check before you apply.

You can show evidence in your application: NLP clinique ou NER sur données sensibles avec garde-fous.
Several of these show up in recent shipped work—not only on your CV: Python, PyTorch, NLP, Machine Learning, and Docker.
You have owned language understanding, generation, and quality metrics in production: debugging live issues, running postmortems, and iterating from real user or business signals.
You are comfortable with the hybrid rhythm (Hybrid · Paris, France)—onsite collaboration when it matters, deep work when remote.
You explain trade-offs (quality, cost, latency, safety) in plain language—with numbers or examples, not buzzwords.
You read the full listing (comp: EUR 60k–80k/year + BSPCE, benefits in At a glance) and your expectations align.

Apply

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What the employer asked for

NLP clinique ou NER sur données sensibles avec garde-fous.

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Register, add a headline and bio, then you can attach a CV link or PDF on My account before you apply. That keeps applications tied to your profile and makes it easier for employers to review your background.

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