Associate Director, Ai

AstraZeneca

**
Machine learning and ai solutions
Transcriptomics and proteomics data analysis
Python and ai libraries
** AstraZeneca is seeking an Associate Director of AI to lead the design and deployment of advanced machine learning and AI solutions for drug development and bioinformatics. The ideal candidate will have a strong background in AI applications, particularly in the pharmaceutical sector, and will work collaboratively across global teams to enhance research capabilities. **

Job Summary

  • The primary aim is to find ways to accelerate the drug development process by leveraging existing company data in combination with the most cutting-edge AI approaches in day-to-day scientific work across the company.
  • As Associate Director, AI, you will be accountable for hands-on design and deployment of advanced Machine Learning and AI solutions used for processing, analysis and interpretation of transcriptomics (as well as proteomics and cell painting) data within toxicological safety domains.
  • You will join a collaborative environment where unexpected teams come together to unlock breakthrough ideas, where kindness sits alongside ambition, and where your production-grade solutions can shape the future of healthcare for patients worldwide.

Matching Summary

Match Score: 75

** AstraZeneca is seeking an Associate Director of AI to lead the design and deployment of advanced machine learning and AI solutions for drug development and bioinformatics. The ideal candidate will have a strong background in AI applications, particularly in the pharmaceutical sector, and will work collaboratively across global teams to enhance research capabilities. **

Skills & Requirements

Must-have

  • Machine Learning and AI solutions
  • transcriptomics and proteomics data analysis
  • Python and AI libraries
  • AWS or similar cloud environment
  • MLOps and DevOps practices
  • communication and presentation skills

Nice-to-have

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

Key Requirements

  • PhD or equivalent experience
  • applying AI/ML in commercial context
  • automating bioinformatics analysis pipelines
  • manipulating large unstructured datasets
  • leadership and project management skills

Work Rights

Not specified

Tailored Resume

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