Chargement en cours

Data Scientist - Drug Discovery & AI

SACLAY, 91
il y a 1 jour

About the Role

This role is an exciting opportunity to contribute to a dynamic, ambitious team in Data Management. You will play a critical part in driving innovation and making an impact in the clinical research space.

Main Responsibilities

  • Integrate and analyze large and heterogeneous scientific datasets.
  • Develop and maintain data processing and data preparation pipelines.
  • Build and deploy Machine Learning and predictive models.
  • Apply AI approaches to biological and pharmaceutical research challenges.
  • Develop mathematical and systems biology models to support decision‑making.
  • Contribute to in silico drug design, molecular selection and optimization activities.
  • Perform scientific literature reviews and support research projects with data‑driven insights.
  • Collaborate closely with biology, chemistry and translational medicine teams.

Qualifications

Experience: Minimum 3 years of experience in pharmaceutical, biotech, CRO or research environments. Strong analytical and problem‑solving skills. Ability to work in multidisciplinary and international teams.

Education: MSc, PhD or equivalent in Bioinformatics, Computational Biology, Data Science, Applied Mathematics, Computational Chemistry or related field.

Languages: Fluency in English (mandatory). Fluency in French is a plus.

Scientific Expertise:

  • Bioinformatics
  • Computational Biology
  • Computational Chemistry
  • Pharmacology
  • Data Science applied to Drug Discovery
  • Artificial Intelligence and Machine Learning
  • Predictive Modelling
  • Mathematical Modelling
  • Systems Biology

Technical Skills:

  • Strong Python programming skills
  • Data integration and data processing
  • Experience with large scientific datasets
  • Knowledge of RNA/DNA sequence analysis is a plus
  • Knowledge of protein engineering and drug design is a plus

Nice to Have:

  • Experience in AI for Drug Discovery
  • Experience in translational research
  • Experience in oncology or other therapeutic areas
  • Exposure to cloud computing environments
  • Publication record in scientific research

Benefits

Excelya provides an inclusive, diverse, and equitable workplace that encourages growth and collaboration. Employees benefit from a one‑stop provider service model across functional areas, and are supported by a culture that fosters scientific and operational excellence.

We provide equal opportunities for all and foster a diverse, equitable, and inclusive workplace.

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Entreprise
Excelya
Plateforme de publication
WHATJOBS
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