{"id":2763619,"url":"https://alion.io/job/capgemini-knowledge-graph-engineer-life-sciences","title":"Knowledge Graph Engineer (Life Sciences)","company":{"id":145,"name":"Capgemini","domain":"capgemini.com","url":"https://alion.io/company/capgemini","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":80,"open_postings":1822,"ghost_share":0.001,"stale_share":0.795,"repost_share":0.009,"time_to_fill_p50_days":28,"computed_at":"2026-10-27T05:46:45Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Évora, Portugal"],"countries":["PT"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":24000,"max_usd":53000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":5668},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Git","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"AI Agents","optional":true},{"name":"Docker","optional":true},{"name":"GraphDB","optional":true},{"name":"LLM","optional":true},{"name":"Machine Learning","optional":true},{"name":"Neo4j","optional":true},{"name":"RAG","optional":true}],"status":"live","first_seen_at":"2026-10-15T06:42:55Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-27T11:00:26Z","board_verified":true,"closed_at":null,"days_open":12,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":12},"description":"CAPGEMINI ENGINEERING\nAt 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.\nYOUR ROLE\nYou will build and maintain the scientific knowledge graph content that will be used to answer scientific questions. You turn biological concepts into ontology-aligned RDF models, write the Python pipelines that generate them, and keep every assertion traceable to its source and evidence. You bridge scientific meaning and technical delivery, so that graph assets are accurate, governed and usable by analytics and AI applications.\nKey responsibilities\nDesign RDF-based data models and reusable semantic structures for genes, proteins, diseases, phenotypes, compounds and experiments\nMap structured and unstructured data to controlled vocabularies and ontologies\nDevelop Python pipelines for data transformation, entity resolution and RDF generation\nDefine and validate identifiers, relationships, provenance and evidence\nWrite SPARQL queries to explore, test and analyze knowledge graphs\nImplement automated semantic quality checks and mapping validation (SHACL or equivalent)\nCollaborate with scientists and ontology specialists to resolve terminology, modelling and data-quality questions\nDocument mapping rules, modelling decisions and validation rules\nSupport the integration of graph assets into downstream data, analytics and AI solutions\nYOUR PROFILE\nMSc or PhD (or equivalent professional experience) in biology, biomedical sciences, bioengineering, genetics, neuroscience, bioinformatics, computational biology or a related field\n3 to 5 years of experience in data engineering, software engineering, semantic technologies or scientific data work\nStrong Python and data manipulation skills, and a working command of SQL\nPractical RDF modelling (subject, predicate, object) and hands-on experience with OWL, SPARQL and SHACL, plus RDFS or triple stores\nExperience designing source-to-ontology mappings or integrating multiple scientific data sources\nPractical experience using or developing ontologies, taxonomies, controlled vocabulary or knowledge graphs\nUnderstanding of provenance, metadata, data quality and schema validation\nExperience with biological or biomedical datasets\nGit and modern software development practices\nClear communication with scientific and technical stakeholders\nFluent English\nPreferred qualificationsHands-on experience with Gene Ontology, MONDO, HPO, EFO, UBERON, ChEBI or other OBO Foundry ontologies\nSemantic-web libraries such as RDFLib or OWLReady2\nEntity linking, terminology mapping or controlled vocabulary management\nRDF-star, named graphs or property graph modelling (Neo4j, GraphDB)\nKnowledge of FAIR principles, scientific metadata governance and LinkML\nAgentic AI experience & LLM-based agents, retrieval-augmented generation, information extraction or LLM-assisted mapping, with validation of the output\nExposure to graph analytics, semantic similarity, machine learning or generative AI\nAPIs, Docker, cloud platforms, workflow orchestration and automated data pipelines\nExperience in pharmaceutical & healthcare or another regulated environment\nPortuguese fluency\n\nWhat we look forScientific curiosity paired with engineering discipline\nCritical thinking and attention to data provenance and quality\nComfort with ambiguity, and the ability to move between scientific meaning and technical implementation\nAn impact-driven mindset in a fast-paced environment\n\nWHAT YOU'LL LOVE ABOUT WORKING HERE\nJoin a multicultural and inclusive team environment.\nEnjoy a supportive atmosphere promoting work-life balance.\nEngage in exciting national and international projects.\nHybrid work.\nYour 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.\nTraining and certifications programs.\nHealth and life insurance.\nReferral program with bonuses for talent recommendations.\nGreat office locations.\nABOUT CAPGEMINI\nCapgemini 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.","description_format":"text","description_chars":5113,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":true},"security_clearance":false,"languages":[{"language":"Portuguese","level":"Advanced (C1)","optional":true},{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":["Hybrid work","Life insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Biotechnology","Systems Integrators","Management Consulting","Engineering Services"],"lifecycle":[{"event":"open","at":"2026-10-17T03:07:43Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 2,076 · green card filings: 82","filings_12m":2076,"filings_prev_12m":2803,"green_card_filings_12m":82,"median_offered_wage_usd":132120,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":0},{"country":"CA","licensed_sponsor":true,"evidence":"Positions approved through LMIA in 12 months: 11","filings_12m":11,"filings_prev_12m":10,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":"Global Talent Stream; High Wage","cap_exempt":false,"checked_at":"2026-10-03T21:10:52+00:00","sources":["ESDC: employers issued a positive LMIA"],"filings_for_role_12m":0},{"country":"GB","licensed_sponsor":true,"evidence":"Licensed UK visa sponsor (Graduate Trainee, Skilled Worker, Senior or Specialist Worker)","filings_12m":null,"filings_prev_12m":null,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":"Global Business Mobility: Graduate Trainee; Skilled Worker; Global Business Mobility: Senior or Specialist Worker","cap_exempt":false,"checked_at":"2026-10-27T06:21:15+00:00","sources":["UK Home Office: register of licensed sponsors (workers)"],"filings_for_role_12m":0}],"liveness":{"score":55,"band":"ok","label":"Likely open","p_open":1,"p_active":0.612,"p_room":0.9,"age_days":11,"expected_fill_days":28,"reasons":["conf:3","stale_co","velocity","win:mid","comp:brand"],"computed_at":"2026-10-27T05:46:45Z"},"pay":null,"html_url":"https://alion.io/job/capgemini-knowledge-graph-engineer-life-sciences","json_url":"https://alion.io/job/capgemini-knowledge-graph-engineer-life-sciences.json","meta":{"generated_at":"2026-10-27T13:20:34Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":1413,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-28T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":145},"rest":"https://alion.io/mcp/rest/get_company?id=145"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcapgemini-knowledge-graph-engineer-life-sciences"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fcapgemini-knowledge-graph-engineer-life-sciences"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fcapgemini-knowledge-graph-engineer-life-sciences"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/capgemini-knowledge-graph-engineer-life-sciences\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcapgemini-knowledge-graph-engineer-life-sciences"}]}