Computational Biologist
Core
Develop and utilize agentic AI systems to discover novel drug targets, biomarkers, and disease subtypes by analyzing multi-omics patient and pre-clinical data.
Role type
Senior IC computational biologist (multi-omics & agentic AI)
Builds
AI Scientist (agentic system for target and drug discovery)
Domain
Biotech / Pharma / Life Sciences (multi-omics, drug discovery)
Deliverable
production ML models
Required skills
multi-omics data analysis, NGS data processing pipelines, integrating multi-omics datasets, early-stage drug discovery, target identification, biomarker discovery, patient stratification, molecular and cellular biology, machine learning concepts, Python programming, autonomous AI agents and agentic workflows
Preferred skills
single-cell RNA-seq analysis, spatial transcriptomic data analysis, clinical and biomedical imaging data analysis, agentic AI system development, publications in top-tier journals, biotech/pharma/life science industry experience
Technologies
scikit-learn, xgboost, Python
Responsibilities
Contribute analyses to projects aiming to discover novel drug targets, biomarkers and disease subtypes through reverse translation based on multi-omics patient or pre-clinical data; analyze biomedical datasets using classical or novel omics methods and machine / deep learning algorithms; conduct literature reviews to stay up-to-date with respect to relevant approaches and datasets; participate in the interpretation of results and help design validation strategies together with cross-functional teams; collaborate with other members of Owkin's R&Tech and Biomedical departments; contribute analyses and visualisations to generate scientific internal and external communications and reports; participate in Owkin's internal R&D activities, develop new as well as improve existing methodologies
Seniority
Senior, hands-on IC
