Associate Principal AI Scientist

Key Skills

Java Programming, Python Programming, SQL, JIRA, Natural Language Processing (NLP), PyTorch, TensorFlow, GraphQL, Github, Trello, Causal inference

Job Description

Here you’ll have the opportunity to make a meaningful difference to patients’ lives. With science at its heart, this is the place where breakthroughs born in the lab become transformative medicines – for the world’s most complex diseases. Answer unmet medical needs by pioneering the next wave of science, focusing on outcomes and shaping the patient ecosystem.

With our ground-breaking pipeline, the outlook is bright. Be proud to be part of a place that has achieved so much, yet is still moving forward. There’s no better time to join our global, growing enterprise as we lead the way for healthcare and society.

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

The imaging and data analytics (IDA) function aims to combine brand new machine learning, engineering, and innovative imaging to transform drug discovery and development to deliver better medicines to our patients. We have an exciting opportunity a become part of an impactful team of AI and data scientists to deliver our strategic priorities in Machine Learning and Artificial Intelligence.

AI Scientists will work in cross functional teams contributing to the design and execution of machine learning projects using the latest methods and engineering standard methodologies applied across the drug development continuum.

The successful candidate will have experience of working in successful teams and will adhere to our engineering standards and ways of working.

They will conduct basic ML research (in collaboration with internal and external partners including leading academic institutions) and continue to engage with the external community, through papers at the major ML conferences and broader engagement activities.

Typical accountabilities

• Work efficiently in a cross functional team of 3-10 to effectively deliver projects using the latest ML methods and modern engineering standard methodologies
• Contribute ideas and provide creative input to machine learning projects
• Adhere to AstraZeneca’s 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 innovative of ML research, especially in a chosen subfield (e.g., Computer vision, probabilistic / causal ML, graph NNs, NLP etc.).

Education and experience

• BSc or PhD in machine learning, computer science or other quantitative subject area; 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.
• 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; (e.g., PyTorch, TensorFlow)
• Track record of collaborating successfully with AI engineering teams to deliver sophisticated modelling projects
• Excellent written and oral communication skills

Desirable:

• Experience with biological / health / chemical data
• Proven track record of excellence in machine learning research including conference papers / presentations at NeurIPS / ICML / ICLR