Associate Director, Ai

AstraZeneca

Hybrid (minimum three days per week in the office)
Machine learning and ai solutions
Transcriptomics, proteomics, cell painting data
Python, tensorflow, pytorch
AstraZeneca is seeking an Associate Director of AI, responsible for designing and deploying machine learning solutions to enhance drug development processes. The ideal candidate will have a strong background in AI, bioinformatics, and project management within the pharmaceutical industry

Job Summary

  • The Predictive AI and Data team provides AI and Bioinformatics solutions to scientists across drug development and discovery stages, aiming to accelerate the process using cutting-edge AI approaches.
  • As Associate Director, AI, you will be responsible for hands-on design and deployment of advanced Machine Learning and AI solutions for processing, analysis, and interpretation of biological data within toxicological safety domains.
  • You will collaborate with scientists globally, build robust production solutions, and champion a 'production first attitude' to scale research to production.

Matching Summary

Match Score: 85

AstraZeneca is seeking an Associate Director of AI, responsible for designing and deploying machine learning solutions to enhance drug development processes. The ideal candidate will have a strong background in AI, bioinformatics, and project management within the pharmaceutical industry.

Skills & Requirements

Must-have

  • Machine Learning and AI solutions
  • transcriptomics, proteomics, cell painting data
  • Python, TensorFlow, PyTorch
  • AWS or similar cloud environment
  • GitHub, CI/CD pipeline, DevOps, MLOps
  • AI ethics and responsible AI practices

Nice-to-have

  • collaboration across timezones
  • production first attitude
  • Agile team experience
  • product or platform-focused delivery

Key Requirements

  • PhD or equivalent experience
  • Proven AI/ML application experience
  • Experience automating bioinformatics analysis
  • Familiarity with foundation models for biological data
  • Experience with large high dimensionality datasets
  • Strong software development and ML deployment principles
  • Experience working with ML engineers/software developers
  • Excellent communication and presentation skills
  • Strong leadership and project management skills

Work Rights

Not specified

Tailored Resume

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