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Bayesian Adaptive Phase I-ii Trials for Drug Resistant Infection

il y a 2 semaines

Paris, France Inria Temps plein

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

**Contexte et atouts du poste**

**Within the framework of the PEPR SN SMATCH.**

This research project focuses on integrating mechanistic mathematical models, that link the dose regimen to the concentration and/or the efficacy markers, into the design model and the dose escalation process of a Phase I/II clinical trial. Clustering techniques will be added to the code aiming at early identification of responding patients. A Bayesian framework will be used and decisions will be made on predicted probability of successes for each enrolled patient.

**Mission confiée**

**Collaborations**

**Responsibilities**

Mission 1: Looking for innovative methods to improve existing models.

Mission 2: Translating models into codes and software.

**Principales activités**

Main activities

  • Bibliography search of existing approaches;
  • Improving the coding and explanations of dose-finding methods;
  • Testing and adjiusting the code;
  • Participating in scientific articles writing;
  • Participating to conferences.

**Compétences**

Technical skills and level required

  • Advance knowled in mathematics (pure or applied)
  • R and/or Phyton coding

Languages

  • Fluent in English

Relational skills

  • Feel confortable to work in a 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

**Informations générales**

  • **Thème/Domaine**: Neurosciences et médecine numériques

Statistiques (Big data) (BAP E)

  • **Ville**: Paris
  • **Centre Inria**: Centre Inria de Paris
  • **Date de prise de fonction souhaitée**: 2025-05-01
  • **Durée de contrat**: 1 an, 6 mois
  • **Date limite pour postuler**: 2025-02-22

**Consignes pour postuler**

**Sécurité défense**

Ce poste est susceptible d’être affecté dans une zone à régime restrictif (ZRR), telle que définie dans le décret n°2011-1425 relatif à la protection du potentiel scientifique et technique de la nation (PPST). L’autorisation d’accès à une zone est délivrée par le chef d’établissement, après avis ministériel favorable, tel que défini dans l’arrêté du 03 juillet 2012, relatif à la PPST. Un avis ministériel défavorable pour un poste affecté dans une ZRR aurait pour conséquence l’annulation du recrutement.

**Politique de recrutement**

Dans le cadre de sa politique diversité, tous les postes Inria sont accessibles aux personnes en situation de handicap.

**Contacts**

  • **Équipe Inria**: HEKA

- **Recruteur**

**A propos d'Inria**

Inria est l’institut national de recherche dédié aux sciences et technologies du numérique. Il emploie 2600 personnes. Ses 215 équipes-projets agiles, en général communes avec des partenaires académiques, impliquent plus de 3900 scientifiques pour relever les défis du numérique, souvent à l’interface d’autres disciplines. L’institut fait appel à de nombreux talents dans plus d’une quarantaine de métiers différents. 900 personnels d’appui à la recherche et à l’innovation contribuent à faire émerger et grandir des projets scientifiques ou entrepreneuriaux qui impactent le monde. Inria travaille avec de nombreuses entreprises et a accompagné la création de plus de 200 start-up. L'institut s'efforce ainsi de répondre aux enjeux de la transformation numérique de la science, de la société et de l'économie.