Senior Biomedical Data Scientist: Pipelines & Graphs

Capgemini Engineering; Porto; Híbrido; EUR 55 000 - 85 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Hybrid work

Health and life insurance

Training and certifications programs

Career growth programs

Referral program with bonuses

Resumo da oferta

Capgemini Engineering in Portugal is seeking a Mid-Senior Data Scientist to design, build, and govern data foundations for life sciences projects. You will bridge scientific, engineering, and product teams to deliver robust, scalable, and FAIR data solutions.

You will lead schema governance, data pipelines in Python/SQL, and knowledge-graph initiatives using RDF/OWL/SPARQL with tools like Neo4j GraphDB. Hybrid work and international projects await.

Qualificações

• MSc or PhD in Bioinformatics, Biomedical Engineering, Molecular/Cell Biology, Neuroscience, Genetics, or related field.
• Excellent stakeholder management across scientific, engineering, and product stakeholders.
• Data modelling and harmonization across complex biomedical domains including source-to-canonical mapping, ontology alignment, persistent identifiers, and provenance.
• Strong Python and SQL skills; comfortable building data pipelines and performing exploratory data analysis.
• Applied data science / ML experience relevant to knowledge graph or scientific data work.
• Strong communication skills with both technical and business stakeholders.
• Critical thinking, intellectual curiosity, and impact-driven mindset.
• Fluent in Portuguese and English.

Responsabilidades

• Designing and governing biomedical data models: mapping, ontology alignment, schema governance, versioning, changelogs, and impact assessments.
• Building and maintaining data pipelines: schema-driven pipelines in Python and SQL, exploratory data analysis, validation frameworks.
• Driving knowledge graph development: RDF/OWL/SPARQL, Neo4j/GraphDB to connect biomedical entities.
• Applying ML and Gen AI: using applied ML and Gen AI tools to extract insights at scale.
• Championing FAIR data principles: delivering FAIR data products with provenance and persistent identifiers.
• Aligning stakeholders across disciplines: clear communication and structured documentation.
• Working with biomedical ontologies and controlled vocabularies: Ensembl, UniProt, Gene Ontology.

Conhecimentos

Python

SQL

Data modelling

Harmonization

Stakeholder management

Communication

Gen AI tools

Knowledge graph

ML experience

Bi biomedical data

Formação académica

MSc or PhD in Bioinformatics/Biomedical Engineering/Molecular or Cell Biology/Neuroscience/Genetics

Ferramentas

Neo4j

GraphDB

RDF

OWL

SPARQL

LinkML

Descrição da oferta de emprego

Capgemini Engineering in Portugal is seeking a Mid-Senior Data Scientist to design, build, and govern data foundations for life sciences projects. You will bridge scientific, engineering, and product teams to deliver robust, scalable, and FAIR data solutions.

You will lead schema governance, data pipelines in Python/SQL, and knowledge-graph initiatives using RDF/OWL/SPARQL with tools like Neo4j GraphDB. Hybrid work and international projects await.