20 publicaciones de empleo destacadas de machine learning medical en sant cugat del vallès, ct (¡Están contratando!)

Senior Scientist, Clinical Intelligence Evidence
AstraZeneca —Barcelona, Barcelona provincia
- Jornada completa
- Microsoft Excel
- Doctorado
- Inglés
Senior Engineer/Scientist in Electrochemical Method Development
Roche —Sant Cugat del Vallès, Barcelona provincia
- Jornada completa
- Microsoft Excel
- Inglés
- Máster
R2-II (Recognised Researcher)
VHIR —Barcelona, Barcelona provincia
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- Español
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Senior Machine Learning Engineer
Tripledot Studios —Barcelona, Barcelona provincia
- Teletrabajo
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- Inglés
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Senior QA Engineer
Riverbed Technology, Inc. —Barcelona, Barcelona provincia
- Español
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14d
Data Analytics & Procurement Intern – EMEA Supply Chain and Logistics
HP —Sant Cugat del Vallès, Barcelona provincia
- Turno de 8 horas
- Microsoft Powerpoint
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- Parking gratuito
Principal AI&ML Scientist – Evinova
AstraZeneca —Barcelona, Barcelona provincia
- Jornada completa
- Microsoft Excel
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2026_113_BIOINFORMATICIAN / DATA SCIENTIST
IGTP —Badalona, Barcelona provincia
- 26.000 € al año
- Jornada completa
- Español
- Doctorado
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AI/ML Computational Scientist
Accenture —Barcelona, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Doctorado
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14d
Staff AI/ML Scientist
EcoVadis —Barcelona, Barcelona provincia
- Jornada completa
- Teletrabajo
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- Doctorado
- Informática
- Seguro dental
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Data Product Manager
HP —Sant Cugat del Vallès, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Máster
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- Parking gratuito
- Seguro de vida
RWE Data Scientist
Sanofi —Barcelona, Barcelona provincia
- De 70.800 € a 94.400 € al año
- Doctorado
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Predoctoral Position (R1): AI for next-generation biomarker discovery: foundation models for tissue spatial interconnections search.
Centre de Visio per Computador —Bellaterra, Barcelona provincia
- Jornada completa
- Español
- Doctorado
- Informática
6d
AI Developer
HP —Sant Cugat del Vallès, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Informática
- SQL
- Parking gratuito
- Seguro de vida
Data Scientist/Data Engineer Analyst/Consultant for Supply Chain
Accenture —Barcelona, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Informática
- Inglés
Postdoctoral Position (R2/R3). AI for next-generation biomarker discovery: foundation models for tissue spatial interconnections search
Centre de Visio per Computador —Bellaterra, Barcelona provincia
- Jornada completa
- Español
- Doctorado
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6d
Senior AI/ML Computational Scientist
Accenture —Barcelona, Barcelona provincia
- Jornada completa
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- Azure
- Doctorado
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14d
Global Process Expert - Customer Master Data
Sanofi —Barcelona, Barcelona provincia
- De 59.600,00 € a 79.466,66 € al año
- Jornada completa
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Senior Data Scientist
Gartner —Barcelona, Barcelona provincia
- Jornada completa
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- Doctorado
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Backend Developer (m/f/d)
Avnet —Barcelona, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Azure
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Senior Scientist, Clinical Intelligence Evidence

AstraZeneca -
Barcelona, Barcelona provincia

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Detalles del empleo

Jornada completa

Cualificaciones

Microsoft Excel
Doctorado
R
Inglés
Máster
SQL
Machine learning
Control de calidad
Inteligencia artificial
Python

Descripción completa del empleo

Posted date Jul. 30, 2026

Contract type Full time

Job ID R-254217

Why choose AstraZeneca Spain?

AstraZeneca Spain is a rising force in our global business. With headquarters in Madrid and our global hub in Barcelona, we’ve become an important international centre of excellence in the fight against critical disease. Boasting vibrant universities and business schools, the Barcelona ecosystem is a place where scientists can thrive. We attract a diverse workforce from across the globe, shining a beacon for innovation in a country that’s committed to clinical development.

We invite you to bring your talents to Barcelona where our respiratory medicine R&D and Global Marketing centre offers opportunities in R&D, IT, Commercial and HR. Or join us in Madrid and shape our growth in our BUs (Respiratory, Oncology & CVRM ), and a range of Corporate functions. Additionally, you can find sales roles throughout the country. Together, we’re contributing to a world-leading pipeline of therapeutics and delivering life-changing medicines to patients.

Who do we look for?

Calling all tech innovators, ownership takers, challenge seekers and proactive collaborators. At AstraZeneca Spain, breakthroughs born in the lab become transformative medicine for the world's most complex diseases. Alongside technical expertise, colleagues have the resilience, energy and collaborative mindset to change lanes, work with different teams and start projects from scratch.

Here, diverse minds and bold disruptors can meaningfully impact the future of healthcare using cutting-edge technology. Whether you join us in Madrid or Barcelona, you can make a tangible impact within a global biopharmaceutical company that invests in your future. Join a talented global team that's powering AstraZeneca to better serve patients every day.

Success Profile

Ready to make an impact in your career? If you're passionate, growth-orientated and a true team player, we'll help you succeed. Here are some of the skills and capabilities we look for.

Diverse collaborators

This is a speak-up culture that values collaboration. You’ll proactively bring your unique perspectives, experiences and skills to the table and seek the same from others. With our international team composition and the need for fast-paced collaboration, you’ll always be building new connections with colleagues.

Cutting-edge innovators

When you join us, you’ll be part of a team that embraces digital technology and data to transform the way we work and the work we do. Every day, you’ll help make history, empowered to ignite your creativity and build something enduring.

Resilient trailblazers

Here, the answers aren’t always available. So, you’ll need to bring a fearless, self-starter mindset to navigate uncharted territories. You’ll harness your ceaseless energy to discover and make the necessary connections with colleagues to shape the future and achieve maximum impact.

Agile movers

Seize ownership and excel with autonomy to enjoy the constant rush of ground-breaking discovery. Your ability to anticipate sudden shifts and adapt swiftly will prove critical as you make your mark in an environment that rewards initiative and resilience.

Responsibilities

Job ID R-254217 Date posted 07/30/2026

Are you ready to turn complex real-world data into evidence that shapes clinical development decisions in Cardiovascular, Renal and Metabolic disease? Join us to apply epidemiology, biostatistics and AI to answer high-value scientific questions that move medicines forward.In this role, you will be part of a cross-functional team bridging Clinical Development, Biostatistics and Data Science to design and deliver observational studies at scale. Your work will inform trial strategy, refine patient selection and endpoints, and improve the speed and quality of decision-making across the CVRM portfolio. Can you see yourself translating sophisticated analytics into clear, decision-relevant insights that influence the path of our pipeline?Accountabilities:

Evidence Generation and Study Delivery: Design and deliver observational studies and RWE projects that address priority scientific and clinical development questions across CVRM, from protocol and analysis plan through to results interpretation and dissemination.
Decision-Ready Insights: Translate findings into clear, evidence-based recommendations that guide study design, development milestones and lifecycle decisions.
End-to-End Analytical Execution: Build and validate cohort and phenotyping definitions; conduct data feasibility assessments; implement statistical analyses; and report results with transparency and reproducibility.
Scientific and Technical Expertise: Apply robust observational study design, epidemiology and biostatistics; select and implement approaches such as comparative effectiveness, longitudinal analysis, causal inference, patient characterization and predictive analytics aligned to the research question
Real-World Data Mastery: Work across claims, electronic health records, registries and linked datasets; assess suitability and limitations; and clearly document assumptions, methods and outputs aligned to internal scientific standards.
AI-Enabled and Scalable Analytics: Deploy AI and machine learning to accelerate phenotyping, endpoint identification, workflow automation and analytical standardisation; contribute reusable code, pipelines, templates and standards to increase consistency and efficiency.
Method Innovation and Evaluation: Scout, evaluate and help adopt new methods, tools and technologies that strengthen delivery and analytical quality.
Cross-Functional Collaboration: Partner closely with Clinical Development, Biostatistics, Data Science and other stakeholders to align objectives, methods and outputs with program decisions; communicate technical concepts to specialist and non-specialist audiences.
Quality, Standards and Continuous Improvement: Uphold rigorous scientific quality, reproducibility and transparency; follow best practices for documentation, coding, quality control and study conduct; share knowledge and help evolve team capabilities and standards.

Essential Skills/Experience:

Advanced degree such as PhD or MSc in epidemiology, biostatistics, data science, public health, or a related discipline.
Strong understanding of observational study design, epidemiologic methods, and the interpretation of real-world data.
Experience applying machine learning or AI methods in healthcare data or related analytical settings.
Practical experience working with real-world data assets such as claims, electronic health records, registries, or linked healthcare datasets.
Experience applying quantitative methods to support evidence generation, including some of: comparative effectiveness research, longitudinal data analysis, causal inference, phenotyping, or predictive modelling.
Strong programming and data analysis skills in R, Python, and/or SQL. - Ability to manage and deliver multiple analyses or projects with a focus on quality, timelines, and scientific robustness.
Strong written and verbal communication skills, with the ability to explain technical findings clearly.
Advanced English.

Desirable Skills/Experience:

Experience developing reusable analytical code, tools, or workflows. - Familiarity with privacy-preserving analytics, federated approaches, or working across diverse data environments. Experience with multimodal real-world data or linked datasets.
Experience in Cardiovascular, Renal and Metabolic (CVRM) disease areas. 6.

Why AstraZeneca: Here, science meets advanced analytics to unlock the next wave of medical breakthroughs. You will collaborate in unexpected teams—clinicians, statisticians, data scientists and engineers in the same room unleashing bold thinking—while working with cutting-edge data, methods and technology that directly influence development decisions.

We combine a strong pipeline with an environment that encourages curiosity, publication, and lifelong learning; we value kindness alongside ambition so you can stretch into new methods, tackle uncertainty and still feel supported. Your contributions will scale beyond a single study to accelerate medicines for patients who need them most.

Call to Action: If you are ready to shape pivotal decisions with rigorous real-world evidence and scalable analytics, apply today to turn data into impact for patients and our CVRM pipeline!

Date Posted

30-jul-2026

Closing Date

12-ago-2026

AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

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Reasons to Join

Thomas Mathisen

There are many things I enjoy when working at AstraZeneca, mainly the Speak up culture, the great colleagues that are in my teams, the great products that AstraZeneca provides to our patients and the challenging conversations I have around our medicines.

Sales Representative Oslo, Norway

Christine Recchio

Working at AstraZeneca has impacted my life in such a positive way. I now have an improved work-life balance through creating my own schedule and time management, I feel a balance that I didn’t have before.

Sales Representative California, United States

Stephanie Ling

There are a lot of reasons why I enjoy working in AstraZeneca, my colleagues being one of them. My team members and the managers have provided a great deal of guidance in helping me to be more confident in my daily work.

Sales Representative Petaling Jaya, Malaysia

What we offer

We're driven by our shared values of serving people, society and the planet. Our people make this possible, which is why we prioritise diversity, inclusivity, balance and sustainability. Discover what a career at AstraZeneca could mean for you.

An award-winning company

We're passionate about being a great place to work, and 84% of our employees would recommend us as an employer. We've been recognised as a Top Employer in Spain, an EFR Family Responsible Business, and we achieved third place in Forbes Spain's Top 50 Best Places to Work list.

Inclusive environment

Diversity and inclusion are embedded in everything we do, and our different views, experiences and strengths enrich our culture. There's no salary gap at AstraZeneca, and the number of female employees has increased by four per cent over the last three years. We've also made all positions fully accessible.

Work-life balance

Your wellbeing means a lot to us, and we're here to support you through all of life's ups and downs. That's why we offer an unpaid leave policy, annual leave, reduced-hours timetables and a host of benefits, including a retirement plan, long service award, and health and travel insurance.

Sustainability initiatives

We're committed to harnessing the power of science to become a more sustainable business. We've reduced our carbon footprint by over 9,000 kg of CO2 over the last two years, and we lead the European GoGreen Project, which aims to introduce environmentally friendly options in our fleet of corporate vehicles.

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machine learning medical empleos en sant cugat del vallès, ct