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Senior AI Research Scientist

Location Gaithersburg, Maryland, United States Cambridge, England, United Kingdom Job ID R-125001 Date posted 02/12/2021

At AstraZeneca, we turn ideas into life changing medicines. Working here means being entrepreneurial, thinking big and working together to make the impossible a reality!

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.

Senior AI Researchers will lead high-performing teams of AI Researchers to deliver Respiratory and Immunology’s strategic priorities in AI and machine learning. This will include being accountable for the design and execution of machine learning projects using the latest methods and engineering best practices. They will help define our engineering standards and ways of working, as well as drive adherence in the team. They will also contribute to the R&I AI leadership team and be able to articulate our AI vision clearly to partners at every level in AZ (and externally). They will continue to engage with the external ML community, through leadership of ML research projects, papers at the ML conferences and broader engagement activities including technical blogs etc.

Typical accountabilities

  • Partner closely with business partners to develop carefully engineered machine learning projects using modern ML methods
  • Lead teams of 3-10 machine learning researchers to successful project delivery using modern engineering standard methodologies and collaboration tools
  • Define (in collaboration with R&I AI Leadership) standards and ways of working
  • Drive alignment to these standards across the team
  • Mentor and develop more junior AI Researchers, including directing basic research
  • Contribute to leadership of the AI group in R&I; contribute to the design and execution of R&I AI strategy
  • Provide thought leadership on modern AI and ML engineering practices in R&I and the broader AZ community
  • Communicate R&I AI strategy to a wide variety of internal and external partners
  • Continue to actively engage in ML research with and through the broader ML research community. Publish papers at the major ML conferences, contribute technical blogs and forge strategic alliances with academia and other industry
  • 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

  • PhD in machine learning, computer science or other quantitative discipline; or equivalent industrial experience
  • Deep expertise in modern AI/ML methods and topics, including computer vision, NLP, structured data, probabilistic / causal ML, normalising 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
  • Proven track record of leading AI/ML teams to successful delivery/deployment, especially in dynamic environments
  • Track record of collaborating successfully with AI engineering teams to deliver complex modelling projects
  • Fluent Python developer (at least 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

AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorisation and employment eligibility verification requirements.

10001254 F DAAS R&D BioPharmaceuticals

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Glassdoor logo Rated four stars on Glassdoor

Great culture, great work assignments, supportive management. Rotation opportunity within the company. They value inclusion and diversity.