Buscar empleo: 108 ofertas de trabajo Sin experiencia de Industria y Producción en Santander (abril 2026)

Senior Product Manager - BioInformatics

hace 1 día

Santander

pbAbout Us /b /ppFor more than 25 years, our global network of passionate technologists and pioneering craftspeople has delivered cutting-edge technology and game-changing consulting to companies on the brink of AI-driven digital transformation. Since 2001, we have grown into a full-service digital consulting company with 6000+ professionals working on a worldwide ambition. /ppDriven by the desire to make a difference, we keep innovating, fueling our growth through a strong knowledge-worker culture. When teaming up with Xebia, expect in-depth expertise delivered through an authentic, value-led, and high-quality way of working. /ppAt Xebia, we put b‘People First’ /b—committed to attracting diverse talent and fostering an inclusive, respectful workplace where everyone is valued for their contributions. We welcome all individuals and evaluate solely on the quality of their work and teamwork. /ppbr/ppbAbout the Role /b /ppWe are looking for professionals with strong expertise in bknowledge graph development, ontology modeling, and semantic data structures within life sciences environments /b. /ppThis role focuses on defining and maintaining bdata models, ontologies, and standards /b that enable large-scale biological data integration and advanced analytics for research and discovery use cases. /ppbr/ppbWhat You’ll Do /b /pulliDefine schemas, ontologies, and data models for scientific information required to create value-adding data products. This includes accountability for quality control and for mapping specifications that are industrialized by data engineering and maintained in platform-provisioned tooling. /liliOwn quality control processes (validation and verification) for mapping specifications, including models, schemas, and controlled vocabularies. /liliPartner with product managers and engineers to translate business needs into well-defined deliverable requirements that enable integration of large-scale biological data to predict, model, and stabilize therapeutically relevant protein complexes and antigen conformations for drug and vaccine discovery. /liliCollaborate with external groups to align internal data standards with industry and academic ontologies, ensuring standards are defined with downstream usage and analytics in mind. May also provide data source profiling and advisory support to RD teams. /liliProvide bespoke subject matter expertise for RD data, translating deep scientific concepts into data structures that enable actionable insight. /liliContribute to and maintain documentation of data standards, ontology decisions, and mapping rationale to support organizational knowledge transfer and auditability. /li /ulpbr/ppbWhat You Bring /b /pulliMaster’s degree in Bioinformatics, Biomedical Science, Biomedical Engineering, Molecular Biology, or Computer Science (with a life science application focus) /lili6+ years of relevant work experience /liliDemonstrated experience contributing to Knowledge Graph development efforts, including entity modeling, relationship design, and schema governance /liliHands-on experience with open-source ontology tools and languages such as Protégé, SPARQL, OWL, SKOS, SHACL, RML, and RDF/Turtle /liliWorking knowledge of major life sciences ontologies, including Gene Ontology (GO), OBO Foundry ontologies (e.g., CL, UBERON, HPO, MONDO, CHEBI, EFO, CLO), MeSH, SNOMED CT, and UMLS /liliFamiliarity with linked data principles and semantic web technologies /liliExperience using industry-standard tools for data serialization and modeling (e.g., JSON Schema, LinkML) /liliProficiency in at least one programming language—preferably Python—for scripting vocabulary mappings, building data models, automating quality control, and prototyping pipelines /li /ul

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