Associate Principal Scientist, Omicsai

AstraZeneca

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Machine vision models in healthcare
Transcriptomics and proteomics data analysis
Cell painting image modeling
** AstraZeneca is seeking an Associate Principal Scientist in OmicsAI to lead the design and deployment of advanced machine learning and AI solutions for multi-omics data within drug development. The role emphasizes collaboration with cross-functional teams to enhance bioinformatics analysis pipelines and requires a strong technical background in AI, machine vision, and programming. **

Job Summary

  • The role involves designing and deploying advanced machine learning solutions to accelerate drug discovery by analyzing multi-omics data across toxicological safety domains.
  • Candidates must lead the development of machine vision models for cell painting data from project ideation through production deployment in collaboration with global R&D teams.
  • This is a hands-on leadership position requiring a strong track record of publishing in top AI conferences and journals within pharmaceutical research.

Matching Summary

Match Score: 75

** AstraZeneca is seeking an Associate Principal Scientist in OmicsAI to lead the design and deployment of advanced machine learning and AI solutions for multi-omics data within drug development. The role emphasizes collaboration with cross-functional teams to enhance bioinformatics analysis pipelines and requires a strong technical background in AI, machine vision, and programming. **

Skills & Requirements

Must-have

  • Machine vision models in healthcare
  • Transcriptomics and proteomics data analysis
  • Cell painting image modeling
  • Python programming with PyTorch or TensorFlow
  • MLOps and CI/CD pipeline implementation
  • AWS cloud environment experience

Nice-to-have

  • Foundation models like Geneformer or scGPT
  • Experience in global matrix organizations
  • Agile team delivery experience
  • Knowledge of AI ethics and responsible AI
  • Proteomics dataset manipulation skills

Key Requirements

  • PhD in mathematics, computer science, engineering, physics, statistics, or related field
  • Proven experience applying machine vision models in healthcare or biotech
  • Track record of publications in top AI conferences or journals

Work Rights

Not specified

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