Director of AI Research, AI for Oncology Clinical Development at AstraZeneca
Visa sponsorship job abroad position offers great opportunities for career growth.
No deje pasar esta oportunidad, inscríbase rápidamente si su experiencia y habilidades coinciden con lo que se indica en la siguiente descripción.
Posted date Sep. 29, ** Contract type Full time Job ID R-****
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 General 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.
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
Define and drive the AI strategy and roadmap for Oncology early and late phase clinical development, and align AI/ML priorities with clinical and business objectives.
Lead, by matrix influence and scientific authority, delivery of complex, high-stakes AI projects.
Evaluate, develop, and champion cutting?edge AI methods, end-to-end, including problem definition, data considerations,



governance, algorithm development, validation, and adoption.
Build cross?functional relationships with clinical development, biometrics, regulatory, and study teams to embed AI strategy and validated solutions into clinical study design, execution, strategy, and decision?making.
Establish and maintain external collaborations with academic institutions, technology partners, and industry consortia to access novel capabilities and advance the AI roadmap.
Represent AstraZeneca at scientific conferences, standards bodies, and peer?reviewed venues; contribute first?or?last?author publications in leading ML and clinical AI journals.
Establish best practices; help shape and promote team culture.
Mentor and support more junior level scientists within the team.
Required qualifications
PhD in a quantitative discipline such as computer science, bioinformatics, computational biology, mathematics, physics, biophysics, computational neuroscience, biostatistics.
4-8 years' work experience outside of PhD with measurable impact (e.G. models delivered, patents, SaMD filings, first-author publications, open-source projects, standards-body participation).
Technical requirements
Exceptional software development and coding skills, leveraging frontier coding agent frameworks; knowledge of computing hardware a plus.
Deep experience, knowledge, and understanding of one or more fields of biology.
Deep understanding of machine learning fundamentals, with domain expertise in one or more of the following.
Training and tuning foundation models.
Bayesian inference.
Temporal modeling.
Multimodal integration and modeling.
Model calibration and domain adaptation.

📌 Ai Research Director For Oncology Clinical Development (Barcelona)
🏢 Astra Zeneca
📍 Barcelona