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Sarah L.SL

Sarah L.

Medical CTO, AI and genomics consultant

€530/day
Le Kremlin-Bicêtre, FR
8-15 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Sarah

**CTO Consultant specialized in health, artificial intelligence, and genomics**, I support organizations in the design, development, and deployment of high-value-added technological solutions in the medical and biotech fields.


At the intersection of tech and life sciences, I work on issues ranging from the architecture of health data platforms to the integration of advanced AI models (machine learning, deep learning, generative AI) applied to clinical and genomic data.

I help teams transform complex data into concrete products: genomic data pipelines, clinical decision support tools, biomedical analysis platforms, and AI systems dedicated to research and diagnosis.

My approach is both strategic and operational: definition of product roadmaps, technological choices, design of scalable architectures, and support for technical teams through to production.
  • French

    Native or bilingual

  • English

    Native or bilingual

  • German

    Fluent

  • Arabic

    Native or bilingual

Can work on-site
Le Kremlin-Bicêtre (up to 50km), Paris (up to 50km)

Experience

  • Le carré Jaune
    Adaptive Pathways Design – Compliance & AI Act
    EDUCATION AND E-LEARNING
    April 2026 - Today (2 months)
    Paris, France
    Creation of adaptive AI training programs for senior executives and regulatory teams. Modules on the AI Act, data governance, and technical compliance. Customization by professional profile (legal, QA, IT, C-level).
    Adaptive learning engine design AI Act Compliance Policy Development Compliance Content (GDPR, MDR, AI ACT) Mentoring & Coaching
  • HARMONIA – Harmonisation Active pour la Robustesse Multi-centre de l’IA en Radiologie
    Medical CTO
    HEALTH AND WELLNESS
    March 2026 - Today (3 months)
    Paris, France
    1Specify biases: identify and quantify the impact of constructors/protocols/artifacts on the model M1-M2
    2Validate methods: choose between histogram matching, CycleGAN, or adaptive normalization; define success metrics (Dice, AUC) M3-M5
    3Industrialize: deliver a Docker microservice that harmonizes incoming DICOMs (< 2 sec/series) with drift monitoring M6-M8
    4Manage regulatory: write documentation for CE marking (Class IIa/IIb) M9-M11
    5Clinically validate: design a protocol (500 patients, 3 centers) with a non-inferiority criterion (Δ sensitivity ≤ 5%) M12-M14
    6Manage the hybrid team: 2 DL engineers + 1 data engineer + 1 reference radiologist Continuous
    7Innovate: monitoring (anatomy-guided style transfer), roadmap v2, patent filing Continuous
    Artificial intelligence Radiology AI in Radiology Medical CTO
  • Le Studio Jaune
    Founder, Mentor & AI Courses Designer
    January 2026 - Today (5 months)
    Firm specializing in consulting, development, and design of AI training programs for executives. Creates accelerated learning experiences helping leaders turn AI into a strategic advantage.

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Education

  • Master's degree in Networks, Telecommunications, and Systems Security
    INSA Hauts-de-France
    2018
    Cybersécurité, réseaux et télécommunications

Skill set

Categories

  • Other