Senior Data Scientist – Multi‑omics Ai & Target Identification - Cdi

Pierre Fabre

Toulouse, France
Incentives; profit-sharing; shareholding with matc...
Fully remote
Multi-omics data analysis expertise
Machine learning and deep learning models
Python programming proficiency
The role involves designing and developing AI systems capable of learning from high-dimensional biological data to uncover cancer vulnerabilities

Job Summary

  • The role involves designing and developing AI systems capable of learning from high-dimensional biological data to uncover cancer vulnerabilities.
  • Candidates must have a PhD or Master's degree along with at least 5 years of experience in data science applied to life sciences.
  • The position offers an attractive remuneration package including profit-sharing, shareholding matching contributions, and 41 days of holidays.

Matching Summary

Match Score: 75

The role involves designing and developing AI systems capable of learning from high-dimensional biological data to uncover cancer vulnerabilities.

Salary

Incentives; Profit-sharing; Shareholding with matching contribution

Skills & Requirements

Must-have

  • Multi-omics data analysis expertise
  • Machine learning and deep learning models
  • Python programming proficiency
  • PyTorch framework experience
  • Transformer-based architecture knowledge

Nice-to-have

  • Strong analytical and structured thinking
  • Cross-functional collaboration skills
  • High intellectual curiosity and innovation mindset
  • Experience with HPC and cloud environments
  • Domain adaptation and self-supervised learning

Key Requirements

  • PhD or Master's degree in Data Science or Computational Biology
  • 5+ years of experience in data science applied to life sciences
  • Professional proficiency in English (written and oral)

Work Rights

Not specified

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