Computational Biologist for AI-Driven Drug Discovery

Owkin; Paris; Hybride; EUR 70 000 - 100 000; Plein temps

Résumé du poste

Owkin is recruiting a Computational Biologist to join the Biomedical team in developing and applying agentic AI systems for drug target discovery and biomarker exploration. You will work on multi-omics data, integrate diverse datasets, and contribute to end-to-end AI experiments alongside experts in AI, biology, and medicine.

The role involves collaboration across R&Tech and Biomedical departments, with responsibilities spanning data analyses, literature reviews, and validation design in

Qualifications

• MSc/PhD in computational biology or related field.
• Experience with omics data and NGS data processing pipelines.
• Experience integrating multi-omics datasets.
• Experience in early-stage drug discovery (target ID, biomarkers, patient stratification).
• Knowledge of molecular and cellular biology related to cancer or human diseases.
• Familiar with ML concepts and tools (cross-validation, statistics, scikit-learn, xgboost).
• Experience with autonomous AI agents and agentic workflows.
• Strong Python programming skills.
• Fluent in written and spoken English.

Responsabilités

• Contribute analyses to projects identifying drug targets and biomarkers.
• Analyze biomedical datasets using omics methods and ML.
• Perform literature reviews to stay updated with relevant approaches.
• Interpret results and help design validation strategies with cross-functional teams.
• Collaborate with Owkin’s R&Tech and Biomedical teams.
• Contribute analyses and visualisations for internal and external reports.
• Contribute to Owkin’s internal R&D and toolbox improvements.

Connaissances

Omics data analysis

Python programming

Machine learning

NGS data processing

Formation

MSc/PhD in computational biology

Outils

scikit-learn

xgboost

Description du poste

Owkin is recruiting a Computational Biologist to join the Biomedical team in developing and applying agentic AI systems for drug target discovery and biomarker exploration. You will work on multi-omics data, integrate diverse datasets, and contribute to end-to-end AI experiments alongside experts in AI, biology, and medicine.

The role involves collaboration across R&Tech and Biomedical departments, with responsibilities spanning data analyses, literature reviews, and validation design in