12 publicaciones de empleo destacadas de clinical research en barcelona, ct (¡Están contratando!)

Senior AI Research Engineer - Knowledge Graphs, hibrido
Biorce —Barcelona, Barcelona provincia
- Trabajo híbrido
- Doctorado
- Informática
- Investigación
- Abono gimnasio
11h
IT Solutions Operations Engineer (Applications Support)
Eurofins —Barcelona, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Oracle
- SQL
- Scripting
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Senior AI Engineer - @Cori
Breega —Barcelona, Barcelona provincia
- Trabajo híbrido
- Inglés
- Máster
- AWS
Solicitud rápida
11d
AI Platform Engineer
AstraZeneca —Barcelona, Barcelona provincia
- Jornada completa
- Microsoft Excel
- Azure
- Oficina
3d
IT Security Specialist
Eurofins GSC IT DC —Barcelona, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Informática
- DevOps
Solicitud rápida
Field Service Engineer (m|f|d) - Barcelona-based
Miltenyi Biotec —Barcelona, Barcelona provincia
- Jornada completa
- Teletrabajo
- Español
- Inglés
- Ingeniería eléctrica
Solicitud rápida
VAC_60_2026 - FACILITIES MAINTENANCE TECHNICIAN
Institut de Recerca contra la Leucèmia Josep Carreras —Badalona, Barcelona provincia
- Jornada completa
- Español
- Doctorado
- Hospital
14d
Senior Director - Enterprise AI Platforms
AstraZeneca —Barcelona, Barcelona provincia
- Jornada completa
- Microsoft Excel
- Azure
- Informática
PhD Researcher (Clinical Neuroimmunology)
VHIR —Barcelona, Barcelona provincia
- Jornada completa
- Español
- Doctorado
- Hospital
3h
VAC_68_2026 - HR OFFICER
Institut de Recerca contra la Leucèmia Josep Carreras —Badalona, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Español
- Hospital
- Inglés
3h
Global Study Manager
AstraZeneca —Barcelona, Barcelona provincia
- Jornada completa
- Microsoft Excel
- Inglés
- Investigación
4h
Global Insights, Analytics, and Forecasting Lead, CVRM Early Assets and Business Development
AstraZeneca —Barcelona, Barcelona provincia
- Jornada completa
- Microsoft Powerpoint
- Microsoft Excel
- Doctorado
4h

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Senior AI Research Engineer - Knowledge Graphs, hibrido

Biorce
Barcelona, Barcelona provincia

Solicitar ahora

Detalles del empleo

Contrato indefinido
Hace 11 horas

Beneficios

Abono gimnasio

Cualificaciones

Optimización del rendimiento
Derecho
Doctorado
Informática
Google Cloud Platform
Investigación
Máster
AWS
Machine learning
Neo4j
NLP
ETL
Escalabilidad
Agile
Cloud
Requisitos comerciales
Inteligencia artificial
Graph databases
Python

Descripción completa del empleo

Senior AI Research Engineer - Knowledge Graphs
About the company

Biorce is a pioneering Healthtech company dedicated to revolutionizing drug development through the power of AI. We are passionate about accelerating medical advancements and improving patient outcomes.

Our team comprises seasoned clinical research professionals, data scientists, and AI experts, working collaboratively to bridge the gap between cutting-edge technology and real-world clinical needs.

With an unwavering commitment to revolutionize healthcare, we envision a world where all patients benefit from accelerated and cost-effective access to treatments. Biorce is poised to redefine the landscape of healthcare, shaping a future where innovation and accessibility converge for the betterment of humanity.

About the role

We are seeking a Senior Research/AI Engineer with specific expertise in Knowledge Graphs (KGs) and their synergy with Large Language Models (LLMs). This role is critical for building a structured knowledge foundation that enhances our AI solutions, adding context, reasoning, and explainability to our Generative AI systems.

Key Responsibilities:

Design and Ontology Engineering: Design and evolve the formal ontology and semantic models (e.g., RDF, OWL) for our knowledge graph, accurately capturing complex domain knowledge and relationships.
Graph Development Implementation: Design, build, and optimize the knowledge graph architecture using graph database technologies (e.g., Neo4j, JanusGraph, Amazon Neptune).
Data Integration ETL: Develop scalable, robust data pipelines and ETL processes to ingest, transform, and map diverse data sources into the graph structure while ensuring data quality and integrity.
Querying and Analytics: Write complex, high-performance graph queries (e.g., Cypher, SPARQL) and develop advanced graph analytics and algorithms (e.g., shortest path, community detection) to extract insights.
Collaboration: Work closely with Data Scientists, ML Engineers, Product Managers, and domain experts to translate business requirements into technical knowledge graph solutions that power search, recommendations, and AI/ML applications.
Performance Tuning: Monitor, analyze, and optimize the performance of the graph database and associated pipelines for scalability and real-time query speed.

Essential Requirements:

Minimum of 3+ years of hands-on experience in designing and implementing large-scale Knowledge Graphs in a production environment.
Deep expertise in ontology engineering, semantic modeling, and experience with standards like RDF, RDFS, OWL, and SPARQL.
Proficiency with at least one major graph database (e.g., Neo4j, TigerGraph, AWS Neptune).
Practical experience integrating LLMs with Knowledge Graphs (e.g., RAG, KG-powered AI agents).
Strong programming skills in languages essential for data engineering, primarily Python.
Experience applying NLP techniques for text processing and structuring (NER, relation extraction).
Excellent problem-solving skills and the ability to work collaboratively in a fast-paced, agile environment.
Excellent communication skills and ability to articulate complex AI concepts to diverse audiences.

Desired Skills (A Plus):

Masters or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
Contributions to research (publications in top-tier conferences) or open-source projects.
Experience with Google Cloud Platform and Vertex AI
Knowledge of Natural Language Processing (NLP) techniques for information and entity extraction to populate the knowledge graph.
Familiarity with Graph Machine Learning (e.g., GNNs - Graph Neural Networks).

Why Join Us?

Work alongside top talent, united by a shared purpose and committed to making a real impact.
Comprehensive private health coverage to ensure your physical and mental well-being.
Company-sponsored gym membership to support your fitness goals.
Hybrid work model offering flexibility to balance your professional and personal life.
Coffee, tea, beverages, and snacks to keep you fueled throughout the day.
Company events to celebrate achievements and enjoy time together.
Get equipped with a MacBook to enhance your productivity and work experience.

By submitting this application, I agree that my personal data will be collected, processed, and retained by the company solely for the purposes of managing and assessing my candidacy.

Neo4j, JanusGraph, Amazon Neptune, LLM,

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clinical research empleos en barcelona, ct

Senior AI Research Engineer - Knowledge Graphs, hibrido

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