Associate Principal Scientist, Omicsai

AstraZeneca

Not specified; not specified; not specified
**
Phd in computational sciences or related field
Experience with machine vision models in healthcare
Expertise in python, tensorflow, and pytorch
** 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 analysis within toxicological safety domains. The role involves collaboration with scientists to enhance drug development processes, requiring both technical expertise and leadership in a dynamic, global environment. **

Job Summary

  • The role focuses on accelerating drug development by leveraging cutting-edge AI approaches to analyze multi-omics data across pre-clinical and clinical stages.
  • Candidates will be responsible for designing and deploying machine learning models to predict clinical event risks and perform high-throughput compound screening.
  • This is a hands-on leadership position requiring collaboration with global R&D hubs in Europe, Asia, and the US to build robust production solutions.

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 analysis within toxicological safety domains. The role involves collaboration with scientists to enhance drug development processes, requiring both technical expertise and leadership in a dynamic, global environment. **

Salary

Not specified; Not specified; Not specified

Skills & Requirements

Must-have

  • PhD in computational sciences or related field
  • Experience with machine vision models in healthcare
  • Expertise in Python, TensorFlow, and PyTorch
  • Proven track record in bioinformatics pipeline automation
  • Knowledge of foundation models like Geneformer or scGPT

Nice-to-have

  • Experience with proteomics datasets
  • Familiarity with MLOps and DevOps best practices
  • Track record of publications in top AI conferences
  • Experience working in complex global organizations
  • Knowledge of AI ethics and responsible AI practices

Key Requirements

  • PhD in mathematics, computer science, engineering, physics, statistics, or computational sciences
  • Demonstrated experience implementing ML/AI workflows in Pharma or Healthcare
  • Advanced programming skills in Python with AI libraries
  • Experience building ML models to predict compound safety
  • Strong knowledge of software development and ML deployment principles

Work Rights

Not specified

Tailored Resume

Cover Letter