AI Research Scientist
AstraZeneca

Job Info

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At AstraZeneca, we're not afraid to do things differently. We're building a new kind of organization to reset expectations of what a bio-pharmaceutical company can be. This means we're opening up new ways to work, pioneering cutting edge methods and bringing unexpected teams together!

Join the team unlocking the power of what science can do. We are working towards treating, preventing, modifying and even curing some of the world's most complex diseases. Here we have the potential to grow our pipeline and positively impact the lives of billions of patients around the world.

AI Researchers will work in teams (led by Senior AI Researchers) to deliver R&I's strategic priorities in AI and machine learning. This will include contributing to the design and execution of machine learning projects using the latest methods and engineering best practices. They will have experience of working in high-performing ML research groups. They will adhere to our engineering standards and ways of working. They will conduct basic ML research (in partnership with senior group members) and continue to engage with the external community, through papers at the major ML conferences and broader engagement activities including technical blogs etc.

Typical accountabilities

• Work efficiently in a team of 3-10 (led by a Senior AI Researcher) to optimally deliver projects using the latest ML methods and modern engineering best practices
• Contribute ideas and provide creative input to machine learning projects
• Adhere to R&I AI standards and ways of working
• Continue to actively engage in ML research with and through the broader ML research community. Publish papers at the major ML conferences and contribute technical blogs
• Remain at the cutting edge of ML research, especially in a chosen subfield (e.g. probabilistic / causal ML, graph NNs, NLP etc.).

Education and experience

• BSc in machine learning, computer science or other quantitative discipline; or equivalent industrial experience
• Deep expertise in contemporary AI/ML methods and topics, including computer vision, NLP, structured data, probabilistic / causal ML, normalizing flows etc.
• Experience with biological / health / chemical data a bonus
• Proven track record of excellence in machine learning research including conference papers / presentations at NeurIPS / ICML / ICLR
• Track record of collaborating successfully with AI engineering teams to deliver complex modelling projects
• Proficient Python developer (2 - 5 years of industrial experience); must be familiar with modern software engineering practices and the use of modern collaborative tools (e.g. GitHub, Slack, Jira, Trello etc.)
• Experienced in at least one major machine learning platform; preferably PyTorch (although TensorFlow is acceptable)
• Excellent written and oral communication skills

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