20 publicaciones de empleo destacadas en data science/mlops engineer (¡Están contratando!)

Head of AI & Bio-Data Science
Myzelence BioTech Analytics —Madrid, Madrid provincia
- 82.000 € al año
- Español
- Doctorado
- Informática
- Seguro médico privado
- Seguro dental
Solicitud rápida
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UDG Ludwigsburg GmbH —Barcelona, Barcelona provincia
- Jornada completa
- Español
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OUTRIGO INTERNATIONAL SL —Barcelona, Barcelona provincia
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Senior / Mid LLM Engineer – Applied AI y Model Optimization
Mystery Project —Donostia-San Sebastián, Guipúzcoa provincia
- Jornada completa
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Backend Engineer (AI integration)
UST —Madrid, Madrid provincia
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- Inglés
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BIP - Business Integration Partners —Madrid, Madrid provincia
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SGS —Madrid, Madrid provincia
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Monks —Madrid, Madrid provincia
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AI Manager Technology Advisor
Kyndryl —Madrid, Madrid provincia
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Director, Enterprise AI Platforms
AstraZeneca —Barcelona, Barcelona provincia
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Docplanner —España
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AI Engineer
Grupo Lanit —España
- Jornada completa
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- Azure
- Máster
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Fortra, LLC —España
- Jornada completa
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- Doctorado
- Java
- Máster
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N-iX —En remoto
- Media jornada
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- Azure
- Doctorado
- Informática
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Data Science & Engineering Analyst
Zurich Insurance —Barcelona, Barcelona provincia
- Trabajo híbrido
- Español
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- Inglés
- Seguro médico privado
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Machine Learning Ops and Data Engineer
Avarda Group —Málaga, Málaga provincia
- Trabajo híbrido
- Azure
- DevOps
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Solicitud rápida
8d
Data Science cum MLOps, Madrid (on-site) – International Client
The White Team —Tres Cantos, Madrid provincia
- Azure
- DevOps
- Inglés

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Head of AI & Bio-Data Science

Myzelence BioTech Analytics
Madrid, Madrid provincia

Solicitud rápida

Detalles del empleo

Contrato indefinido
82.000 € al año

Beneficios

Seguro médico privado
Seguro dental
Ayuda al desarrollo profesional
Oportunidades de crecimiento y desarrollo profesional
Seguro de vida

Cualificaciones

Español
Doctorado
Informática
Inglés
Investigación
Máster
Machine learning
Deep learning
Cloud
Inteligencia artificial
Liderazgo

Descripción completa del empleo

About Us

Myzelence BioTech Analytics is a biotechnology and advanced analytics company focused on leveraging artificial intelligence, bioinformatics, and data science to accelerate scientific discovery and innovation. We combine cutting-edge AI technologies with biological data analysis to support research, healthcare, and biotechnology initiatives.

Position Overview

We are seeking an experienced and visionary Head of AI & Bio-Data Science to lead our multidisciplinary team of AI engineers, data scientists, and bioinformatics specialists. This leadership role will be responsible for developing and executing the company's AI strategy, overseeing advanced analytics initiatives, and driving innovation in biological data modeling and interpretation.

Key Responsibilities

Define and execute the company's AI and bio-data science roadmap.
Lead and mentor teams of AI researchers, data scientists, and bioinformatics professionals.
Develop machine learning and deep learning solutions for biological and healthcare datasets.
Oversee data strategy, governance, and quality standards across research projects.
Collaborate with scientific, technical, and executive stakeholders to identify opportunities for innovation.
Evaluate emerging AI technologies and implement best practices.
Manage project timelines, budgets, and resource allocation.
Present technical findings and strategic recommendations to senior leadership and external partners.

Required Qualifications

Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Bioinformatics, Computational Biology, Data Science, or a related field.
Minimum 8+ years of experience in AI, machine learning, data science, or bioinformatics.
Demonstrated leadership experience managing technical and research teams.
Strong knowledge of machine learning frameworks, statistical modeling, and large-scale data analysis.
Experience working with biological, genomic, healthcare, or life sciences datasets.
Excellent communication and stakeholder management skills.
Fluent in English; Spanish proficiency is a plus.

Preferred Qualifications

Experience in biotechnology, pharmaceutical, healthcare, or life sciences industries.
Published research in AI, machine learning, or computational biology.
Experience with cloud computing platforms and MLOps practices.

Benefits

Competitive salary package.
Professional development and research opportunities.
Collaborative and innovative work environment.
Opportunities to work on impactful biotechnology and AI initiatives.
Flexible work arrangements where applicable.

Sueldo: 82.000,00€ al año

Beneficios:

Ayuda al desarrollo profesional
Seguro dental
Seguro de vida
Seguro médico privado

Ubicación del trabajo: Empleo presencial

Solicitud rápida

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