Document mappings, modelling decisions and validation rules, and keep them in version control
Investigate and resolve data issues at the source, and communicate their impact
Mentor junior colleagues and review their code and mappings
YOUR PROFILE
MSc or PhD (or equivalent professional experience) in biology, biomedical sciences, bioengineering, genetics, neuroscience, bioinformatics, computational biology or a related field
3 to 5 years of experience in data engineering, bioinformatics or scientific data work, with real biomedical datasets
Strong Python (pandas or similar) and SQL skills, with pipelines you built and maintained
Hands-on experience with data harmonization & mapping, vocabulary alignment and persistent identifiers
Experience with data quality assessment and validation frameworks, with checks written as code
Solid Git practice & branches, pull requests, meaningful commit history
Biological reasoning about the data you handle (genes, variants, diseases, phenotypes, assays)
Clear communication with scientific and technical stakeholders
Fluent English
Preferred qualifications
Experience with biomedical ontologies and databases such as Gene Ontology, MONDO, HPO, EFO, UBERON, ChEBI, Ensembl or UniProt
Agentic AI experience & LLM-based agents or workflows, tool use, retrieval-augmented generation, or LLM-assisted curation and mapping, with validation of the output
Validation frameworks (Great Expectations, Pandera, SHACL or similar)
Workflow orchestration (Airflow, Prefect, Snakemake, Nextflow) and Docker
Cloud platform experience (AWS, Azure or GCP)
Knowledge of schema modelling (LinkML or equivalent), FAIR principles, RDF or SPARQL
Applied machine learning
Experience in pharma, biotech or another regulated research environment
Portuguese fluency
What we look for
Scientific curiosity paired with engineering discipline
Critical thinking and attention to data provenance and quality
Comfort with ambiguity, and the ability to move between scientific meaning and technical implementation
An impact-driven mindset in a fast-paced environment
WHAT YOU'LL LOVE ABOUT WORKING HERE
Join a multicultural and inclusive team environment.
Enjoy a supportive atmosphere promoting work-life balance.
Engage in exciting national and international projects.
Hybrid work.
Your career growth is central to our mission. Our array of career growth programs and diverse professionals are crafted to support you in exploring a world of opportunities.
Training and certifications programs.
Health and life insurance.
Referral program with bonuses for talent recommendations.
Great office locations.
ABOUT CAPGEMINI
Capgemini is the business transformation partner for enterprises in the age of AI. We help organizations imagine and build an intelligent, sustainable future, combining AI, technology and human ingenuity to transform how they operate, innovate and grow. With unique end-to-end capabilities spanning strategy, technology, engineering and intelligent operations, we bring together deep industry expertise and market-leading capabilities in AI, cloud and data to turn ambition into measurable business outcomes at scale. Supported by a robust ecosystem of partners and nearly 60 years of expertise, Capgemini is a responsible and diverse global organization of over 410,000 team members in more than 50 countries.
Ref. code
577818
Posted on
Nov 12, 2026
Experience Level
Experienced Professionals
Contract Type
Permanent
Location
Lisboa, PT
Evora, PT
Fundão, PT
Vila Nova de Gaia, PT
Brand
Capgemini Engineering
Professional Community
Data & AI
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