Drug Discovery Scientist

il y a 4 semaines


Paris, Île-de-France DeepLife Group Temps plein
Job Title: Drug Discovery Scientist

We are seeking a highly skilled Drug Discovery Scientist to join our team at DeepLife Group. This role will focus on developing innovative methods for target identification, drug repurposing, and patient stratification to advance our drug discovery programs.

Key Responsibilities:
  • Develop advanced computational methods using deep learning and systems biology to identify novel drug targets.
  • Create predictive models to discover new uses for existing drugs by analyzing multi-omics and single-cell data.
  • Develop methods for stratifying patients based on molecular and cellular profiles using single-cell analysis.
  • Communicate effectively with pharmaceutical partners to align research goals and provide insights into the drug discovery process.
  • Apply thorough knowledge of the drug discovery pipeline to guide project direction and ensure alignment with industry standards.
  • Work with biologists, chemists, clinicians, and data scientists to apply computational findings in practical settings.
  • Lead and manage research projects, ensuring they align with organizational goals and timelines.
  • Collaborate on experimental design to validate computational predictions and refine models.
  • Stay updated with the latest advancements in computational biology, deep learning, and systems biology.
  • Present complex data and concepts clearly to diverse scientific and non-scientific audiences.
Preferred Qualifications:
  • Ph.D. in Computational Biology, Bioinformatics, Systems Biology, or a related field.
  • Expertise in developing computational methods for target identification using deep learning and systems biology.
  • Strong background in deep learning, preferably with experience in foundation models.
  • Experience in creating innovative computational approaches for drug repurposing.
  • Experience discussing with pharmaceutical companies and a solid understanding of the drug discovery pipeline.
  • Proficiency in systems biology for integrating multi-omics data and modeling biological systems.
  • Extensive experience in computational biology, particularly in single-cell analysis.
  • Proficiency in programming languages such as Python or R and experience with bioinformatics tools and libraries.
  • Proven ability to develop methods for patient stratification using single-cell analysis and computational biology.
  • Experience working in interdisciplinary teams.

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