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Emma HerchéEH

Emma Herché

UX Researcher and Designer HealthTech

€300/day
Lille, FR
0-2 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Emma

UX Researcher specialized in the medical sector and health devices, I support companies (MedTech, health start-ups, medical device manufacturers) in designing safe, intuitive, and user-centered interfaces.

🩺 You need me if...
✅ You are developing a medical device or health software and need to understand the real-world uses by healthcare professionals.

✅ You are looking to conform your interface to the IEC 62366 standard and complete your usability engineering file.

✅ You need user testing, field interviews, formative evaluation protocols, or UX recommendations to secure your design.

✅ You want to design a clear, reassuring, and ergonomic interface for a high-constraint environment (operating room, consultation, laboratory, etc.).

✅ You are looking for an autonomous, rigorous, and empathetic UX researcher with a good understanding of the medical sector.

I am available for one-off missions or long-term collaborations. Let's talk about your needs!

  • French

    Native or bilingual

  • English

    Fluent

Can work on-site
Lille (up to 50km)

Experience

  • Celeos SAS
    Ergonomics and Usability Engineer
    MEDICAL
    February 2024 - Today (2 years and 5 months)
    Lille, France
    On assignment at Celeos, I apply a user-centered UX research approach to optimize the SpiderMass interface according to the IEC 62366 standard.
    User Research Report Writing Protocol quantitative analysis Qualitative Analysis
  • Broca Living Lab
    Intern
    February 2019 - September 2019 (6 months)
    Paris, France
    Participation in the evaluation of the acceptability and understanding of a companion robot by elderly users.

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Education

  • Master in Cognitive Science for Business
    University of Lille
    2024
    - Formation pluridisciplinaire croisant psychologie, neurosciences, ergonomie, intelligence artificielle, linguistique et data science. - Application des sciences cognitives à des problématiques concrètes en entreprise (UX design, innovation technologique, conduite du changement, formation, etc.). - Approfondissement des mécanismes cognitifs : perception, attention, mémoire, prise de décision, etc. - Compétences en analyse de données avec R et Python (statistiques, visualisation, modélisation). - Bases solides en machine learning, facilitant les échanges avec les équipes de développement et de data science. - Projets appliqués en groupe, études de cas et stage en entreprise pour une mise en pratique concrète des savoirs.
  • Bachelor's Degree, Psychology
    University of Paris
    2021
    Licence, Psychologie

Skill set

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