Data Scientist – AI Reasoning & Biomedical Knowledge Engineering

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 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 Responsabilities

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 reproducibility

Required 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 teams

Preferred 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 experience

Soft 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 environment

What 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