Associate Director, Ai

aerzteforum.info

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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 for drug development and bioinformatics. The role emphasizes collaboration with scientists, managing relationships across global R&D teams, and ensuring production readiness of AI models. **

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 solutions for drug development and bioinformatics. The role emphasizes collaboration with scientists, managing relationships across global R&D teams, and ensuring production readiness of AI models. **

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
  • collaboration with ML engineers and software developers
  • DevOps and MLOps practices

Nice-to-have

  • building ML/AI models to predict compound safety
  • experience in life sciences
  • familiarity with machine vision models
  • experience working in an Agile team

Key Requirements

  • PhD or equivalent experience
  • proven experience applying AI/ML commercially
  • experience automating bioinformatics analysis pipelines
  • familiarity with modern foundation models for biological data
  • experience manipulating large unstructured datasets
  • strong knowledge of ML deployment principles
  • excellent communication and presentation skills
  • strong leadership and project management skills
  • knowledge of AI ethics and responsible AI practices

Work Rights

Not specified

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