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Gif-sur-Yvette

    Translational Statistics - Gif-sur-Yvette, France - Servier

    Servier
    Servier Gif-sur-Yvette, France

    il y a 1 semaine

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    CDI
    Description

    Fondé pour servir la santé, Servier est un groupe pharmaceutique international gouverné par une Fondation, qui aspire à avoir un impact sociétal significatif pour les patients et pour un monde durable. Son modèle unique de gouvernance lui permet de servir pleinement sa vocation avec une vision à long terme : être engagé pour le progrès thérapeutique au bénéfice des patients. Les collaborateurs qui composent le Groupe sont engagés autour de cette vocation commune, source d'inspiration au quotidien. Leader mondial en cardiologie, Servier a pour ambition de devenir un acteur reconnu, focalisé et innovant en oncologie en ciblant des cancers difficiles à traiter. C'est pourquoi le Groupe consacre plus de 50 % de son budget de R&D au développement de thérapies ciblées et innovantes en oncologie. Les neurosciences et les maladies immuno-inflammatoires constituent un futur relais de croissance. Dans ces domaines, Servier se focalise sur un nombre restreint de pathologies spécifiques dans lesquelles une caractérisation précise des patients permet de proposer une réponse thérapeutique ciblée, grâce à la médecine de précision. Pour favoriser l'accès à des soins de qualité pour tous, et à moindre coût, le Groupe propose également une offre de médicaments génériques couvrant la majorité des pathologies, en s'appuyant sur des marques fortes en France, en Europe de l'Est, au Brésil et au Nigeria. Dans tous ces domaines, le Groupe intègre la voix du patient à chaque étape du cycle de vie du médicament. Servier, dont le siège social est basé en France, s'appuie sur une solide implantation géographique dans plus de 150 pays et a réalisé, en 2021, un chiffre d'affaires de 4,7 milliards d'euros.

    As part of the Translational Statistics team at Servier R&D, you will lead the statistical activities related to Biomarkers and Precision Medicine on several research and clinical development projects. In this role, you will have the opportunity to be closely involved in developing Biomarker objectives for our therapeutic projects, influencing Translational Medicine efforts and the development of companion diagnostics. You will leverage biomarker data/evidence from different sources (e.g., pre-clinical data, clinical studies data, RWE, publications) and propose state-of-the-art methodologies, while ensuring operational efficiency, to support effective decision-making, optimize targeted patient population and accelerate drug development.

    Responsibilities :

  • Contribute to the development and optimization of biomarker strategy of projects in collaboration with project team members.
  • Provide input on study designs, ensuring adequation with the biomarker objectives in the study (sample size, power...).
  • Elaborate biomarker statistical analysis strategy, when appropriate with innovative methods, that optimally address the research objectives on high and low throughput biomarkers.
  • Perform or supervise the planned and exploratory statistical analyses of biomarkers.
  • Discuss results with translational team and their interpretation in internal/external communication as well as regulatory documents.
  • Represent statistical expertise in Biomarker subgroups, and in the governance of its projects, if necessary.
  • Establish and maintain sound working relationships and effective communication within the project team and with the translational medicine teams.
  • Stay up to date on and apply cutting-edge Biomarker/Omics data analysis. Identify and suggest ways to increase high quality information yield from biomarker data.
  • Contribute to the internal and external visibility of the department and promote the development of internal scientific knowledge.
  • Participate in the setting up of a centralized, harmonized and searchable Multi-Omics data cloud.
  • Participate to collaborative R packages development on Omics data analysis created by the team.
  • Profile :

  • Doctoral degree or Master or equivalents in Biostatistics, Bioinformatics with a must have experience in genomics and statistics (at least 2 years).
  • Extensive experience in Omics data analysis, especially RNAseq, NGS, Microarray ...
  • Extensive experience in advanced statistical methods in particular for high-dimensional data (cross-validation, multiple testing correction, feature selection ...)
  • Experience in Machine Learning algorithms: penalized regression, SVM, random forest neural network...
  • General knowledge of pharmaceutical clinical development (experience of using biomarker data in clinical decision-making process would be a plus)
  • Basic knowledge of biology (molecular biology and oncology would be a plus)
  • Experience in Companion Diagnostics / assay development would be a plus
  • Experience in Biological Network Analysis would be a plus
  • Fluent in R, including R Markdown, R Shiny, dplyR (Python would be a plus)
  • Fluent in English
  • Capability to provide strategic inputs in broader contexts
  • Good collaboration and influencing skills in matrix working environments
  • Team player spirit and eager to collaborate with people from various backgrounds
  • Results-oriented
  • Ability to summarize and clearly convey statistical results to non-experts
  • Organization skills
  • Capability to work on several projects simultaneously
  • Quel que soit votre domaine d'expertise, votre travail au sein du Groupe Servier contribue à faire avancer le progrès thérapeutique au bénéfice des patients. Vous ferez partie d'équipes reconnues pour leur excellence scientifique et développerez votre plein potentiel dans un environnement professionnel qui vous encourage à vous développer. Des parcours d'intégration sur mesure, des opportunités de mobilité, des formations de qualité, un management responsable, un esprit d'équipe... Tout cela et plus encore dans un lieu de travail axé sur votre bien-être.

    Chez Servier, nous sommes engagés dans le progrès thérapeutique au service des besoins des patients. Nous mettons la diversité de nos collaborateurs comme une source de richesse pour l'accomplissement de cette vocation.



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