Associate Principal Ai Research Scientist (fundamental Ai Research For Digital Biology)

Astrazeneca

**
Novel ai theories, methodologies, and algorithms
Design and develop machine learning models
Analyzing heterogeneous biological data
** AstraZeneca is seeking an Associate Principal AI Research Scientist to lead projects in fundamental AI research applied to digital biology. The ideal candidate will have a strong academic background and extensive experience in machine learning, particularly in the context of drug discovery and development. **

Job Summary

  • You will lead and develop machine learning models designed explicitly for analysing heterogeneous biological data while collaborating with biology researchers to run algorithmically designed wet lab experiments to inform future experimental directions.
  • You will remain at the forefront of AI/ML research by participating in journal clubs, seminars, mentoring, and personal development initiatives and contributing to publications and academic and industry collaborations.
  • When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines.

Matching Summary

Match Score: 75

** AstraZeneca is seeking an Associate Principal AI Research Scientist to lead projects in fundamental AI research applied to digital biology. The ideal candidate will have a strong academic background and extensive experience in machine learning, particularly in the context of drug discovery and development. **

Skills & Requirements

Must-have

  • novel AI theories, methodologies, and algorithms
  • design and develop machine learning models
  • analyzing heterogeneous biological data
  • theoretical, fundamental AI research
  • algorithmic development and programming in Python
  • deep learning toolkits

Nice-to-have

  • collaborating with biology researchers
  • participating in journal clubs, seminars
  • contributing to publications and collaborations
  • open-source projects, patents, portfolios

Key Requirements

  • PhD in machine learning, statistics, computer science, mathematics, physics
  • Fundamental AI research experience
  • proven track record in conceptualising, designing, and creating new models
  • Deep theoretical understanding and quantitative knowledge
  • Well-rounded experience designing new AI/ML approaches
  • Experience in theoretical, fundamental AI research and practical aspects
  • In-depth understanding of applying rigorous scientific methodology
  • Distinctive experience in exploiting research methods
  • Thorough algorithmic development and programming experience
  • Robust ability to communicate and collaborate effectively
  • Fundamental research, extensive research and expert understanding

Work Rights

Not specified

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