# Director of AI Research, AI for Oncology Clinical Development at AstraZeneca

AstraZeneca is hiring a Director of AI Research, AI for Oncology Clinical Development. It pays $186k-$279k a year and Level rates it Builds AI ●●●●; you can [apply on AstraZeneca](https://jobsbylevel.com/go/a4d0569f-f9bf-441f-9c96-45d1889db023?utm_medium=ai-agent).

AI Level 4, AI centrality 90 out of 100. US - Cambridge Kendall SQ - MA.

## Details

- Company: [AstraZeneca](https://jobsbylevel.com/companies/astrazeneca)
- AI level: AI Level 4 (score 90 out of 100)
- Location: US - Cambridge Kendall SQ - MA
- Salary: $186k-$279k
- Posted: October 28, 2026
- Apply: https://jobsbylevel.com/go/a4d0569f-f9bf-441f-9c96-45d1889db023?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=director-of-ai-research-ai-for-oncology-clinical-development-at-astrazeneca-6f7eac

## Prepare for this job

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## Description

Location: Barcelona, Spain or Cambridge, USA Title: Director We're building a connected, end-to-end Enterprise AI engine - uniting data foundations, AI technology, process reinvention, and business-facing AI to accelerate results across the whole value chain. Success depends on being exceptional connectors: you'll actively leverage existing capabilities, celebrate and promote reuse, export breakthrough ideas across geographies and functions, and obsess over scaling impact rather than building in isolation. If you thrive in high-collaboration environments where your role is to turn complex, cross-functional problems into reusable, enterprise-wide capabilities - and where the measure of success is adoption and scale, not just innovation - you'll have the platform (and sponsorship) to make it real. Drug discovery has benefitted enormously in the current AI era, yet comprises only a portion of the journey to bring new treatments to those in need. The final step – clinical drug development – is oft overlooked, despite requiring a significant proportion of time and investment. In the AI for Clinical Development team at AstraZeneca, we're reimagining the process of clinical development. Our vision is to bring safe, efficacious treatments to patients in a way that quantifiably improves our chance to do this faster, more cost-effectively, and with reduced patient burden. In this role, you will be a senior technical and strategic lead to help us leverage the power of AI to the fullest, alongside our other computational, statistical, and machine learning tools. You will work across the enterprise to define and deliver on AstraZeneca’s most pressing clinical development questions. You will proactively collaborate in cross-functional teams spanning AstraZeneca’s key Oncology foci of hematology, cell therapy, antibody-drug conjugates, small molecules, and biologics. This is an unprecedented, high visibility opportunity to invent new ways to leverage data, models, and learnings across the spectrum of cancer biology and drug modalities – and importantly, you and the team will apply these new methods to measurably advance the late-stage drug pipeline and our group’s ambition. Responsibilities • Define and drive the AI strategy and roadmap for Oncology early and late phase clinical development, and align AI/ML priorities with clinical and business objectives • Lead, by matrix influence and scientific authority, delivery of complex, high-stakes AI projects • Evaluate, develop, and champion cutting-edge AI methods, end-to-end, including problem definition, data considerations, governance, algorithm development, validation, and adoption • Build cross-functional relationships with clinical development, biometrics, regulatory, and study teams to embed AI strategy and validated solutions into clinical study design, execution, strategy, and decision-making • Establish and maintain external collaborations with academic institutions, technology partners, and industry consortia to access novel capabilities and advance the AI roadmap • Represent AstraZeneca at scientific conferences, standards bodies, and peer-reviewed venues; contribute first- or last-author publications in leading ML and clinical AI journals • Establish best practices; help shape and promote team culture • Mentor and support more junior level scientists within the team Required qualifications • PhD in a quantitative discipline such as computer science, mathematics, physics, biophysics, bioinformatics, computational biology, computational neuroscience, biostatistics • 4-8 years’ work experience outside of PhD with measurable impact (e.g. models delivered, patents, SaMD filings, first-author publications, open-source projects, standards-body participation) Technical requirements • Exceptional software development and coding skills, leveraging frontier coding agent frameworks; knowledge of computing hardware a plus • Deep understanding of machine learning fundamentals, with domain

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