Associate Director, Digital Proteomics and AI Innovation
AstraZeneca1 day ago
Responsibilities
- Identify workflow opportunities where agentic AI can improve proteomic, peptidomic and multi-omic data exploration, interpretation and automation.
- Design, build, deploy, iterate and maintain AI-enabled and agentic workflow systems for scientific users.
- Apply mass spectrometry, proteomics and peptidomics expertise to data standards, analytical approaches and biological interpretation.
- Integrate proteomics, peptidomics, sequencing, transcriptomics and experimental metadata to generate translational insight.
- Partner with CGR informaticians, data scientists and mass spectrometry scientists and collaborate with Infectious Disease and Oncology stakeholders.
- Contribute technical expertise to scientific discussions and share knowledge with internal and external scientific communities.
Requirements
- At least 3 years of experience and an advanced degree, PhD or equivalent experience.
- Deep expertise in mass spectrometry-based proteomics and peptidomics, including experimental design, data characteristics, limitations and interpretation challenges.
- Hands-on data science and software delivery experience building, deploying and maintaining analytical or AI-enabled systems used by scientific teams.
- Experience developing agentic AI workflows or advanced AI systems for scientific data exploration, interpretation or workflow automation.
- Experience integrating and analyzing multidimensional datasets across proteomics, peptidomics, sequencing, transcriptomics and associated metadata.
- Ability to work as an independent, hands-on technical contributor while combining scientific judgment with engineering and delivery expertise.
- Strong communication and collaboration skills, including translating complex scientific and technical concepts into adopted solutions.
- Preferred qualifications include a PhD in proteomics, computational biology, bioinformatics, data science, biostatistics, computer science or a related discipline.
- Preferred experience includes digital proteomics and AI-enabled approaches in oncology, immunology, cancer vaccines, immunopeptidomics or neoantigen discovery.
- Preferred experience includes data foundations, ontologies, harmonized analytical environments, reusable AI capabilities, additional omics modalities, deployed tools, software products, open-source contributions, publications or conference presentations.
Benefits
- Inclusive culture focused on diversity and collaboration.
- Commitment to lifelong learning, growth and development.
- Full-time role posted October 13, 2026, with applications closing October 29, 2026.
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About AstraZeneca
AstraZeneca is a global biopharmaceutical company that discovers, develops, manufactures, and commercializes prescription medicines for patients and healthcare systems. Its portfolio spans oncology, cardiovascular, renal and metabolism, respiratory and immunology, and rare diseases (expanded by the 2021 acquisition of Alexion). Founded in 1999 and headquartered in Cambridge, UK, it is a public company listed on the London Stock Exchange and Nasdaq, generating revenue primarily from drug sales and partnerships.