Associate Director, Ai

AstraZeneca

3 days onsite (with flexibility)
Design and deployment of advanced ml/ai solutions
Processing, analysis and interpretation of transcriptomics data
Python programming and ai libraries
AstraZeneca is seeking an Associate Director of AI to lead the design and deployment of advanced machine learning solutions in drug development, particularly in transcriptomics and bioinformatics. The role involves collaboration with scientists to enhance research through AI, while managing stakeholder relationships and ensuring robust infrastructure for production-grade solutions

Job Summary

  • The Predictive AI and Data team provides AI and Bioinformatics solutions to scientists across drug development and discovery stages at AstraZeneca.
  • As Associate Director, AI, you will be accountable for hands-on design and deployment of advanced Machine Learning and AI solutions for toxicological safety domains.
  • You will collaborate with scientists, build robust solutions in production, and work across European and Asian R&D hubs.

Matching Summary

Match Score: 85

AstraZeneca is seeking an Associate Director of AI to lead the design and deployment of advanced machine learning solutions in drug development, particularly in transcriptomics and bioinformatics. The role involves collaboration with scientists to enhance research through AI, while managing stakeholder relationships and ensuring robust infrastructure for production-grade solutions.

Skills & Requirements

Must-have

  • design and deployment of advanced ML/AI solutions
  • processing, analysis and interpretation of transcriptomics data
  • Python programming and AI libraries
  • AWS or similar cloud environment
  • ML engineers and software developers collaboration
  • CI/CD pipeline and MLOps practices

Nice-to-have

  • predict compound safety models
  • life sciences industry experience
  • Agile team experience
  • responsible AI practices knowledge

Key Requirements

  • PhD or equivalent experience
  • applying AI/ML to commercial problems
  • automating bioinformatics analysis pipelines
  • manipulating large high dimensionality unstructured datasets
  • software development and ML deployment principles
  • leadership and project management skills

Work Rights

Not specified

Tailored Resume

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