Scientist Computational Target Discovery Neuro F/M

Servier
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Location
Unknown
Job Type
Full-time
Posted
October 10, 2026

Job Description

Nous sommes un groupe pharmaceutique à dimension humaine, international et indépendant, gouverné par une Fondation. Notre modèle, singulier, fait notre fierté mais, surtout, nous permet de servir pleinement notre vocation : « Engagés pour le progrès thérapeutique au bénéfice des patients ».

Aujourd’hui leader mondial en cardiologie, nous avons choisi de devenir un acteur focalisé et innovant en oncologie d’ici 2030, en ciblant des cancers difficiles à traiter et en y consacrant plus de 70 % de notre budget R&D. Un défi que nous poursuivons en parallèle du développement de notre activité générique pour un accès à des soins de qualité pour tous, et à moindre coût.

Nous ? 22 000 passionnés de plus de 50 nationalités, portés par un esprit d’entreprenariat. Chaque jour nous avançons avec et pour les patients, avec et pour nos équipes, portés par l’envie de prendre soin, d’oser, de nous développer, de nous engager pour être utiles à celles et ceux qui en ont besoin.

Venez vivre et contribuez à faire vivre notre engagement #MovedByYou

www.servier.com

Within the Quantitative Pharmacology department, your role will be to contribute to the in silico identification and validation of targets to drive therapeutic progress. You will capitalize on the computational integration of high-throughput multi-domain biomedical data and knowledge to support decisions on new targets. Working at the interface of Research, Translational Medicine, and Therapeutic Areas, you will ensure that computational insights are translated into actionable evidence to fuel the R&D pipeline, with a particular focus on neurology projects.

Key Responsibilities include

  • Identifying and characterizing candidate therapeutic targets using high-dimensional molecular and patient data, alongside advanced computational and AI methods, with a focus on neurological indications.
  • Contributing actively to team projects and portfolio objectives, ensuring rigorous execution and high-quality deliverables.
  • Communicating scientific and technical results effectively to project teams and stakeholders.
  • Developing and implementing innovative methods for target identification and validation.
  • Collaborating with external partners and third-party vendors on key projects.

Profile

  • PhD in Biology, Bioinformatics, Computational Biology, or a related quantitative discipline.
  • Experience in pharmaceutical R&D or biotech, with exposure to translational research and computational target identification, ideally with significant experience in neurology.
  • Strong understanding of molecular mechanisms and physiopathological processes in neurological diseases.
  • Proven expertise in hypothesis generation through computational analysis of high-dimensional molecular, genetic, and clinical/preclinical data.
  • Knowledge of the early pharmaceutical R&D value chain, from in silico discovery to preclinical validation.
  • Strong understanding/knowledge in Machine Learning, Digital Twins, or foundational models.
  • A collaborative and curious mindset, with excellent English communication skills.

Nous sommes engagés pour l’égalité des chances et le développement des talents dans toute leur diversité. Nous accordons autant de valeur à l’expérience qu’à l’envie de s’engager au quotidien pour être utile au progrès thérapeutique au bénéfice des patients. Si vous vous reconnaissez dans cette offre et ces quelques lignes, saisissez cette opportunité de nous rencontrer.

Frequently Asked Questions

Where is this position located and what is the work mode?
The job location is listed as Unknown, and the text does not specify a remote, hybrid, or on-site work policy.
What are the key responsibilities of this role?
Responsibilities include identifying and characterizing candidate targets for neurological indications using high-dimensional data, advanced computational tools, and AI. You will also develop target identification methods, communicate results to stakeholders, contribute to portfolio goals, and collaborate with external partners.
What qualifications and experience are required?
Candidates must have a PhD in Biology, Bioinformatics, Computational Biology, or a related discipline. Experience in biotech/pharma R&D, translational research, and computational target identification (ideally in neurology) is required, along with expertise in computational data analysis, early R&D processes, Machine Learning, Digital Twins, or foundational models, and fluent English skills.

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Job Information

Source: manual
AI Relevance: 92/100 (Highly relevant)
Remote Type: onsite
Allowed Locations: Worldwide
Skills & Tags:
servier machine learning bioinformatics computational biology clinical

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