Associate Director, Digital Diagnostics & AI

As one of the first hires for the team in Ireland, you will play a key role in building digital diagnostic capabilities while collaborating with colleagues across AstraZeneca and with external partners. You will join an agile team of data scientists and data engineers who combine scientific, technical, and machine learning expertise to:

• Develop the next generation of AI-driven digital diagnostic technologies to support AstraZeneca's 2030 ambition and increase access to our medicines.
• Optimize the quality and depth of insight from clinical biomarker data, supporting faster data-driven decisions and empowering future strategy and planning for AZ's assets.
• Unlock the full potential of both internal and real-world biomarker data sources by developing or leveraging existing tools and analytics for deep exploration.

• Advanced degree (M.S./Ph.D.) in Computer Science, Statistics, Mathematics, Data Science, or a related field.
• At least 3-5 years proven industry experience delivering data science and ML/AI solutions in production at scale.
• Proficiency in statistics, machine learning, deep learning, with multi-modal data in a variety of applications.
• Fluent in AI tech full stack: Git, Python, Pytorch, Docker, experiment tracking (e.g., MLFlow, Amazon Sagemaker, etc.), and CI/CD-driven MLOps.
• Proven ownership of the full AI lifecycle- from data acquisition and labeling through model development, validation, deployment, post-deployment monitoring, and continual retraining.
• Hands-on with experimental design, statistical analysis, and rapid prototyping.
• Track record of close collaboration with software-engineering, DevOps, product, and domain-expert teams to translate AI research into reliable, maintainable production code.
• Knowledge of cloud platforms such as AWS, Google Cloud, or Azure, and on-prem and on-the-edge.
• Strong analytical, critical-thinking, project management, and organizational skills.
• Ability to communicate complex technical concepts to technical and non-technical audiences.

• Leadership experience to motivate a team of data scientists to success.
• Experience in AI healthcare: digital pathology, medical imaging, genomics, or diagnostics.
• Working knowledge of SaMD/IVD regulations and quality standards (ISO 13485, IEC 62304, GCP, ICH).
• Peer-reviewed publications in leading AI / data-science conferences and journals (e.g., NeurIPS, CVPR, MICCAI, Nature Medicine) demonstrating methodological or clinical impact.
• Established professional networks in data science, software engineering, academic or diagnostics communities.
• Understanding of the potential business impacts of deploying AI-solutions in healthcare.

AstraZeneca is a place where your work is truly meaningful. We are on a journey to bring life-saving medicines to patients worldwide. Our commitment to improving patient outcomes drives us forward every day. Here you will find a dynamic environment that encourages innovation and experimentation. We value diverse backgrounds and experiences that contribute to our success. Join us as we shape the future of healthcare by making a real difference in patients' lives.

If you are ready to make an impact, apply now to join our team!

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.