Data Scientist – AI Reasoning
2 semanas atrás
About the RoleValvian is building a next-generation Artificial Intelligence platform to accelerate discovery in longevity and advanced therapeutics. We are recruiting Data Scientists to join the team working with Prof. Inês Dutra, focusing on symbolic AI, logical reasoning, multimodal biological data integration and the development of explainable discovery engines.This role blends advanced machine learning, knowledge representation and biomedical data analysis, with direct impact on our antibody, cell therapy and healthy-aging pipelines.Key Responsibilities• Develop machine learning and symbolic AI models for causal and explainable reasoning• Build and optimise pipelines for multi-omics, clinical and experimental data integration• Design knowledge graphs, ontologies and inference engines applied to glycobiology and longevity• Collaborate with biology, chemistry and bioinformatics teams to define datasets, features and analytical needs• Create analytical tools for target prioritisation, mechanism-of-action insights and efficacy prediction• Implement swarm-intelligence algorithms and hybrid neural + symbolic modules• Contribute to the architecture of the OTT-88 platform and reasoning modules developed with Prof. Inês Dutra• Ensure best practices in validation, version control, documentation and reproducibilityRequired Qualifications• MSc or PhD in Data Science, Artificial Intelligence, Computer Science, Bioinformatics, Biomedical Engineering or similar fields• Strong experience in Python and ML frameworks (PyTorch, TensorFlow, Scikit-learn)• Solid knowledge of statistical modelling, causal inference and interpretable ML• Experience with biomedical databases, ontologies and data integration• Familiarity with knowledge graphs, descriptive logic, Prolog or reasoning systems• Ability to work within multidisciplinary scientific teamsPreferred Experience• Experience with longevity, aging or systems-biology datasets• Experience with swarm-intelligence or nature-inspired algorithms• Background in ML pipelines for drug discovery• Experience working with multi-omics data• Previous academic or industry collaboration experienceSoft Skills• Structured thinking and strong reasoning skills• Scientific curiosity and autonomy• Clear communication and ability to translate complex concepts• Comfort working in a fast-paced, high-growth environmentWhat We Offer• Opportunity to work directly with international leaders in symbolic AI and advanced reasoning• A scientific environment that combines deep research with practical impact• Fast career progression, real responsibility from day one and ownership in a global mission• Integration into a team building the next generation of AI applied to biotechnology
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Data Scientist – AI Reasoning
2 semanas atrás
Lisboa, Portugal Valvian Tempo inteiroAbout the RoleValvian is building a next-generation Artificial Intelligence platform to accelerate discovery in longevity and advanced therapeutics. We are recruiting Data Scientists to join the team working with Prof. Inês Dutra, focusing on symbolic AI, logical reasoning, multimodal biological data integration and the development of explainable discovery...
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Data scientist – ai reasoning
2 semanas atrás
Lisboa, Portugal Valvian Tempo inteiroAbout the Role Valvian is building a next-generation Artificial Intelligence platform to accelerate discovery in longevity and advanced therapeutics. We are recruiting Data Scientists to join the team working with Prof. Inês Dutra, focusing on symbolic AI, logical reasoning, multimodal biological data integration and the development of explainable discovery...
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Data Scientist
2 semanas atrás
Lisboa, Portugal Valvian Tempo inteiroAbout the Role Valvian is building a next-generation Artificial Intelligence platform to accelerate discovery in longevity and advanced therapeutics. We are recruiting Data Scientists to join the team working with Prof. Inês Dutra, focusing on symbolic AI, logical reasoning, multimodal biological data integration and the development of explainable discovery...
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