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AstraZeneca

Global pharmaceutical company developing prescription medicines

Associate Director - Digital Diagnostics & AI

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeDublin, IrelandNo salary listedIn-person

About the Job

Requirements

  • An advanced degree (M.S. or Ph.D.) in Computer Science, Statistics, Mathematics, Data Science, or a related field.
  • At least 3–5 years of industry experience delivering data science and machine learning/artificial intelligence solutions in production at scale.
  • Proficiency in statistics, machine learning, deep learning, and working with multimodal data across varied applications.
  • Proficiency with Git, Python, PyTorch, Docker, experiment-tracking tools such as MLflow or Amazon SageMaker, and continuous-integration/continuous-delivery-driven machine-learning operations.
  • Ownership of the full artificial intelligence lifecycle, from data acquisition and labeling through model development, validation, deployment, post-deployment monitoring, and continual retraining.
  • Hands-on experience with experimental design, statistical analysis, and rapid prototyping.
  • A track record of collaborating with software engineering, DevOps, product, and domain-expert teams to translate artificial intelligence research into reliable, maintainable production code.
  • Knowledge of cloud platforms such as AWS, Google Cloud, or Azure, and on-premises and edge environments.
  • Strong analytical, critical-thinking, project-management, and organizational skills.
  • Ability to communicate complex technical concepts to technical and non-technical audiences.

Responsibilities

  • Develop the next generation of artificial-intelligence-driven digital diagnostic technologies to support AstraZeneca’s 2030 ambition and increase access to its medicines.
  • Optimize the quality and depth of insight from clinical biomarker data, supporting faster data-driven decisions and future strategy and planning for AstraZeneca’s assets.
  • Develop or leverage existing tools and analytics to explore internal and real-world biomarker data sources.
  • Help establish the digital diagnostics laboratory and build digital diagnostic capabilities while collaborating with colleagues across AstraZeneca and external partners.

Desired Qualifications

  • Leadership experience motivating a team of data scientists to success.
  • Experience in artificial-intelligence healthcare applications such as digital pathology, medical imaging, genomics, or diagnostics.
  • Working knowledge of Software as a Medical Device/in-vitro diagnostic regulations and quality standards, including ISO 13485, IEC 62304, Good Clinical Practice, and International Council for Harmonisation guidelines.
  • Peer-reviewed publications in leading artificial-intelligence or data-science conferences and journals, such as NeurIPS, CVPR, MICCAI, or 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 artificial intelligence solutions in healthcare.

About the Company

AstraZeneca

Global pharmaceutical company developing prescription medicines

AstraZeneca develops and markets prescription medicines and vaccines worldwide, with a focus on oncology, cardiovascular/metabolic, respiratory, and infectious diseases. Its products work by targeting specific biological pathways or cells, using small-molecule therapies, biologics, and vaccines to treat diseases or prevent infections. It differentiates itself through its dual heritage from Sweden and the UK, a broad pipeline, and strong R&D and collaborations that move from discovery to patient access. Its goal is to improve people’s health by discovering, developing, and delivering medicines and vaccines to patients worldwide.

Company size
10,001+
Company stage
IPO
Headquarters
Cambridge, United Kingdom
Founded
1913

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