
201 - 500 employees
Founded 2016
đ€ Artificial Intelligence
đ§Ź Biotechnology
đ Pharmaceuticals
Artificial Intelligence âą Biotechnology âą Pharmaceuticals
Owkin is an AI-driven biomedical company building an autonomous âAI Scientistâ (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.
đ„ 55 minutes ago
đ France, United Kingdom, +1 more countries â Remote
â° Full Time
đĄ Mid-level
đ Senior
đ» Ghost score 12%
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201 - 500 employees
Founded 2016
đ€ Artificial Intelligence
đ§Ź Biotechnology
đ Pharmaceuticals
Artificial Intelligence âą Biotechnology âą Pharmaceuticals
Owkin is an AI-driven biomedical company building an autonomous âAI Scientistâ (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.
âą Contribute analyses to projects discovering novel drug targets, biomarkers and disease subtypes through reverse translation using multi-omics patient or pre-clinical data âą Analyze biomedical datasets using classical or novel omics methods and machine/deep learning algorithms âą Conduct literature reviews on relevant approaches and datasets âą Interpret results and help design validation strategies with cross-functional teams âą Collaborate with computational biologists, chemists, AI scientists, medical imaging experts, medical doctors and biologists âą Contribute analyses and visualizations for scientific internal and external communications and reports âą Participate in internal R&D activities, develop new methodologies and improve existing methodologies âą Help keep Owkinâs Toolbox state-of-the-art
âą MSc / PhD in either computational biology, bioinformatics, biology, machine learning, computer science, mathematics or a related field âą Experience working with omics data and NGS data processing pipelines âą Experience of integrating multi-omics datasets âą Experience of working in early-stage drug discovery programs, including target identification, biomarker discovery and patient stratification âą Good knowledge of molecular and cellular biology, especially related to cancer and/or other human diseases âą Familiarity with machine learning concepts and toolkits such as cross validation, statistical tests, scikit learn and xgboost âą Experience using autonomous AI agents and agentic workflows to perform data analyses âą Good programming skills in Python âą Fluency in written and spoken English âą Team-first attitude, curiosity, attention to detail and ability to thrive in a dynamic, fast-paced environment
âą Flexible work organization âą Friendly and informal working environment âą Opportunity to work with an international team with high technical and scientific backgrounds
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