Computational Biologist

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đŸ”„ 55 minutes ago

🌐 France, United Kingdom, +1 more countries – Remote

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⏰ Full Time

🟡 Mid-level

🟠 Senior

đŸ‘» Ghost score 12%

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Logo of OWKIN

OWKIN

201 - 500 employees

Founded 2016

đŸ€– Artificial Intelligence

🧬 Biotechnology

💊 Pharmaceuticals

Artificial Intelligence ‱ Biotechnology ‱ Pharmaceuticals

Owkin is an AI-driven biomedical company building an autonomous “AI Scientist” (K Pro) to automate and support biopharmaceutical R&D and clinical research. Its platform combines advanced machine learning and foundation models trained on a large multimodal patient data network with wet-lab validation and clinical partnerships to generate biological insights, inform clinical trial and patient/population decisions, and accelerate drug discovery and diagnostics. Owkin also incubates diagnostic spinouts and provides tools and services for data partners, model development, and translational research.

📋 Description

‱ Contribute analyses to projects discovering novel drug targets, biomarkers and disease subtypes through reverse translation using multi-omics patient or pre-clinical data ‱ Analyze biomedical datasets using classical or novel omics methods and machine/deep learning algorithms ‱ Conduct literature reviews on relevant approaches and datasets ‱ Interpret results and help design validation strategies with cross-functional teams ‱ Collaborate with computational biologists, chemists, AI scientists, medical imaging experts, medical doctors and biologists ‱ Contribute analyses and visualizations for scientific internal and external communications and reports ‱ Participate in internal R&D activities, develop new methodologies and improve existing methodologies ‱ Help keep Owkin’s Toolbox state-of-the-art

🎯 Requirements

‱ MSc / PhD in either computational biology, bioinformatics, biology, machine learning, computer science, mathematics or a related field ‱ Experience working with omics data and NGS data processing pipelines ‱ Experience of integrating multi-omics datasets ‱ Experience of working in early-stage drug discovery programs, including target identification, biomarker discovery and patient stratification ‱ Good knowledge of molecular and cellular biology, especially related to cancer and/or other human diseases ‱ Familiarity with machine learning concepts and toolkits such as cross validation, statistical tests, scikit learn and xgboost ‱ Experience using autonomous AI agents and agentic workflows to perform data analyses ‱ Good programming skills in Python ‱ Fluency in written and spoken English ‱ Team-first attitude, curiosity, attention to detail and ability to thrive in a dynamic, fast-paced environment

đŸ–ïž Benefits

‱ Flexible work organization ‱ Friendly and informal working environment ‱ Opportunity to work with an international team with high technical and scientific backgrounds

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