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Principal Biologist

Salary not disclosed8+ yearsHybrid

  • Drug Discovery
  • Paris
  • Full time
  • Today
Newly posted

About the role

The Principal Biologist will help shape a rapidly expanding portfolio of small molecule programs across diverse therapeutic areas, starting with oncology and immuno-oncology. Working closely with the VP of biology and multidisciplinary teams, this role focuses on providing biological support to accelerate the discovery of clinical candidates.

Responsibilities

  • Drive the identification, validation, and selection of novel biological targets aligned with clear unmet medical needs
  • Contribute to early-stage project ideation by providing deep biological insight and a strong understanding of the drug discovery value chain
  • Guide programs from early discovery into the AQEMIA pipeline, supporting progression toward proof of concept
  • Design, implement, and maintain screening cascades to enable efficient compound evaluation and decision-making
  • Partner with project teams to provide biological expertise, identify risks, and support data-driven prioritization
  • Manage and collaborate with external CROs to define experimental strategies and ensure generation of high-quality, decision-enabling datasets
  • Foster cross-functional collaboration, integrating biology with chemistry, modeling, and platform teams

Required skills

  • Biology
  • Small molecule drug discovery
  • Oncology
  • Immuno-oncology
  • Experimental biology

Nice to have

  • Contract Research Organization management
  • Project management
  • Portfolio management
  • Translational biology
  • Biomarker strategies

Qualifications

  • PhD in biological sciences (e.g., pharmacology, molecular biology, chemical biology, biochemistry)
  • Equivalent industry experience

About the Company

AQEMIA is a drug invention company dedicated to creating entirely new medicines to address major unmet medical needs. Their proprietary molecule-invention platform, QEMI, combines physics-based modeling, statistical mechanics, and generative AI to design novel drug candidates from first principles.