Principal AI Engineer - Evinova

Posted date Jun. 01, 2026
Contract type Full time
Job ID R\-253184

Why choose AstraZeneca Spain?
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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?
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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
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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
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Job ID R\-253184 Date posted 06/01/2026
About the role and the project:

On average, it takes more than 10 years to develop a drug and costs more than $1\.3 billion. Over 70% of drug R\&D costs are spent on clinical development, yet the success rate from phase I to approval is only around 10%. At Evinova, a health tech business unit, we are on a mission to increase clinical trial success rates by 20%, accelerate clinical development timelines by 36 months, and reduce study costs by 50% by leveraging state\-of\-the\-art AI and Machine Learning.

If you are a solid coder with hands\-on experience developing AI and ML solutions, strong understanding of modern deep learning, robust AWS skills, and a voracious learner, then you could be a fantastic fit for our team.

Talent with ambition to grow into leadership roles will be a key differentiator for successful candidates. Glass ceiling smashers especially welcome.

We are seeking a highly skilled and innovative Principal AI Engineer to design and implement advanced machine learning models that solve complex healthcare problems. In this role, you will translate analytical prototypes into robust, scalable production systems while leading the end\-to\-end AI and ML lifecycle from data preparation to deployment and monitoring. You'll develop and maintain critical data pipelines, deliver production\-ready code following best practices, and collaborate with cross\-functional teams to deliver data\-driven solutions that align AI initiatives with business objectives.

This position offers the opportunity to mentor team members, drive digital transformation in healthcare, and work with cutting\-edge technologies including traditional deep learning models and modern MLOps practices. You'll be at the forefront of applying machine learning to revolutionize clinical development and drug discovery.

Accountabilities:

• Design and implement AI agentic workflows and advanced machine learning models to solve complex healthcare problems.


• Translate analytical prototypes into robust, scalable production systems.


• Lead end\-to\-end ML lifecycle from data preparation to deployment and monitoring.


• Develop and maintain data pipelines supporting model training and deployment.


• Deliver production ready code as well as infrastructure as code, implementing best practices for code quality, testing, and documentation.


• Collaborate with cross\-functional teams to deliver data\-driven solutions.


• Mentor team members with a less technical background in software engineering.


• Collaborate in a multidisciplinary environment to align AI initiatives with business objectives and drive digital transformation.


• Stay current with advancements in data science, AI and software engineering.

Essential Skills/Experience:

• Degree in Computer Science, Mathematics, Physics or related quantitative field.


• 5\+ years in data science roles focused on production\-ready solutions.


• Strong Python programming with proficiency in data science libraries such as NumPy, pandas, scikit\-learn, SciPy, Optuna and TensorFlow/PyTorch.


• Extensive experience developing and deploying Python APIs, particularly using FastAPI and MCPs.


• Agentic AI frameworks for design and orchestration.


• Strong expertise in Python testing frameworks (pytest, unittest, mock)


• Experience with RESTful API design, documentation, dependency injection, error handling, and logging.


• Proficiency with AWS cloud services (CDK, EKS, S3, IAM, CloudWatch)


• CI/CD experience, particularly with GitHub Actions workflows.


• Advanced SQL skills and experience with graph databases.


• Docker containerization and Kubernetes orchestration experience.


• Experience working with AI tools and Large Language Models (LLMs) for practical applications.


• Creative problem\-solving abilities and outside\-the\-box thinking.


• Excellent communication skills for technical and non\-technical audiences.


• Proven collaborative team experience.


• Demonstrated innovation mindset and ability to work independently.

Desirable Skills/Experience:

• AWS Machine Learning Engineer or AWS Solution Architect certification.


• TypeScript or a similar strongly\-typed programming language experience.


• Data visualisation expertise.


• Experience with real\-time data processing and streaming.


• Performance testing experience with data\-intensive applications.


• Front\-end development familiarity.


• Knowledge of healthcare AI/ML regulatory requirements.


• Knowledge of drug development and previously experience of working in pharmaceutical industrial.

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life\-changing medicines. In\-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

Evinova draws on AstraZeneca’s deep experience developing novel therapeutics, informed by insights from thousands of patients and clinical researchers. Together, we can accelerate the delivery of life\-changing medicines, improve the design and delivery of clinical trials for better patient experiences and outcomes, and think more holistically about patient care before, during, and after treatment. We know that regulators, healthcare professionals, and care teams at clinical trial sites do not want a fragmented approach. They do not want a future where every pharmaceutical company provides its own, different digital solutions. They want solutions that work across the sector, simplify their workload, and benefit patients broadly. By bringing our solutions to the wider healthcare community, we can help build more unified approaches to how we all develop and deploy digital technologies, better serving our teams, physicians, and ultimately patients.

Evinova represents a unique opportunity to deliver meaningful outcomes with digital and AI to serve the wider healthcare community and create new standards for the sector.

Join us on our journey of building a new kind of health tech business to reset expectations of what a bio\-pharmaceutical company can be. This means we’re opening new ways to work, pioneering cutting\-edge methods, and bringing unexpected teams together. Interested?

Date Posted

31\-may\-2026
Closing Date

13\-jun\-2026
AstraZeneca embraces diversity and equality of o

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