Engineer in methodological evaluation of digital twins (H/F)

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Le descriptif de l’offre ci-dessous est en Anglais

Type de contrat : CDD

Contrat renouvelable : Oui

Niveau de diplôme exigé : Thèse ou équivalent

Fonction : Ingénieur scientifique contractuel

Niveau d'expérience souhaité : Jusqu'à 3 ans

Contexte et atouts du poste

HeKA (https://team.inria.fr/heka/) is a multidisciplinary research team specializing in biomedical informatics, biostatistics, and applied mathematics for digital health. The team focuses on developing learning health systems that leverage multimodal health data (e.g., electronic health records, clinical trials) to improve precision medicine and healthcare quality. HeKA collaborates with leading institutions across Europe to advance digital innovations in healthcare.

The HeKA team at Inria, Inserm, and University Paris Cité is seeking a motivated researcher to join the MediTwin project. The objective of the MediTwin project is to support the digital transformation of medical practices through a European and sovereign innovation platform, an ecosystem of users and service provider partners for medical decision support. It is based on the virtualization of organs and physio-pathological systems using medical data to improve the efficiency of care and the effectiveness and safety of medical practices, based on the ability to predict the evolution and success of different possible interventions. The MediTwin project is structured around three founding members: Dassault Systèmes, INRIA and IHU France.

 

Mission confiée

The recruited researcher will focus on the methodological evaluation of digital twins. In particular, he/she will develop Bayesian statistical methods for evaluating learning systems over time.

 

Principales activités

Main activities:

  • Development of statistical models;
  • Coding and explaining results;
  • Bibliography search of existing approaches;
  • Articles writing;
  • Oral communications and poster at conferences.

Compétences

Technical skills and level required :

  • Advance knowledge in mathematics (pure or applied);
  • Proficiency in statistical software or programming languages like R or Python.

Languages :

  • Fluent in French and English (B2 lever or higher).

Relational skills :

  • Strong team collaboration skills.

Other valued appreciated :

  • Ability to work independently while contributing to a multidisciplinary team.

Avantages

  • Subsidized meals
  • Partial reimbursement of public transport costs
  • Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)
  • Possibility of teleworking and flexible organization of working hours
  • Professional equipment available (videoconferencing, loan of computer equipment, etc.)
  • Social, cultural and sports events and activities
  • Access to vocational training
  • Social security coverage