Mid-Senior Data Scientist (Life Sciences)

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world's most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

YOUR ROLE

We are looking for a Mid-Senior Data Scientist with a strong background in biomedical sciences and data engineering to join our growing team in Portugal. In this role, you will work at the heart of cutting-edge life sciences projects, helping to design, build, and govern the data foundations that power scientific discovery and product development. You will act as a bridge between scientific, engineering, and product stakeholders - translating complex biological knowledge into robust, scalable, and FAIR data solutions.

In this role you will play a key role in:

• Designing and governing biomedical data models: leading source-to-canonical mapping, ontology alignment, and schema governance including versioning, changelogs, and downstream impact assessments to ensure data integrity and scientific accuracy across complex biomedical domains.
• Building and maintaining data pipelines: developing robust, schema-driven pipelines in Python and SQL, performing exploratory data analysis, and implementing validation frameworks that support high-quality, reproducible scientific workflows.
• Driving knowledge graph development: applying hands-on experience with RDF, OWL, SPARQL, and property graph modelling tools such as Neo4j and GraphDB to build and enrich knowledge graphs that connect biomedical entities across diverse data sources.
• Applying machine learning and Gen AI: leveraging applied ML experience and familiarity with Gen AI tools (including text generation APIs, chatbots, and enterprise search solutions) to extract insight and value from scientific data at scale.
• Championing FAIR data principles: designing and delivering FAIR data products, leading harmonisation efforts across multiple source systems, and ensuring persistent identifiers and provenance are embedded into every data product.
• Aligning stakeholders across disciplines: driving alignment between scientific, engineering, and product teams through clear communication, structured documentation, and a solutions-focused mindset that keeps complex projects moving forward.
• Working with biomedical ontologies and controlled vocabularies: applying deep knowledge of resources such as Ensembl, UniProt, and Gene Ontology, including judgment on when and how to extend or map them to real-world data challenges.

ABOUT CAPGEMINI

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology, and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations.

Apply now!