Associate Director, Digital Proteomics and AI Innovation

Make a meaningful impact   on   patients’ lives around the   world   At AstraZeneca, we are combining   cutting-edge   science,   data   and artificial intelligence to transform how we discover and develop medicines. This role sits within the Centre for Genomics Research (CGR) and works in close collaboration with AstraZeneca Infectious Disease and Oncology, offering a unique opportunity to shape new digital and AI capabilities for the cancer vaccine space.   Based in CGR, you will sit at the intersection of mass spectrometry-based proteomics,   immunopeptidomics   and agentic AI — building the data foundations and intelligent systems that allow scientists to explore high-throughput proteomics, HLA- peptidomics , neoantigen discovery, genetic sequencing, transcriptomics and emerging molecular assays as a connected whole. This is a hands-on technical role for someone who can combine deep proteomics   expertise   with the practical engineering judgement needed to design,   deploy   and scale AI systems that scientific users   actually rely   on.   What   you'll   do   As Associate Director, Digital Proteomics and AI Innovation within CGR, you will:   Identify   high-value workflow opportunities   where agentic AI can transform how proteomic,   peptidomic   and multi- omic   data are explored, integrated,   interpreted   and automated.   Design, build, deploy and iterate   AI-enabled systems — including agentic workflows — that are usable,   maintainable   and integrated into real scientific practice.   Bring deep domain   expertise   in mass spectrometry, proteomics and   peptidomics   to shape data standards, analytical   approaches   and biological interpretation, with   particular relevance   to   immunopeptidomics   and neoantigen-centric workflows.   Drive integrative analysis   across proteomics,   peptidomics , sequencing,   transcriptomics   and experimental metadata to generate translational insight.   Partner with   informaticians,   data and   mass spectrometry scientists   within CGR, and collaborate closely with scientific stakeholders in AstraZeneca Infectious Disease and Oncology, to embed AI capabilities into scalable, governed analytical environments.   Contribute technical   expertise   to scientific discussions, sharing knowledge with colleagues and engaging with internal and external scientific communities.   Essential criteria   Advanced degree (PhD or equivalent experience) in proteomics, computational biology, bioinformatics, data science, biostatistics, computer   science   or a related discipline.   Deep   expertise   in mass spectrometry-based proteomics and   peptidomics , including a working understanding of experimental design, data characteristics,   limitations   and interpretation challenges.   Strong hands-on data science and software delivery experience, with   a track record   of building,   deploying   and   maintaining   analytical or AI-enabled systems used by scientific teams.   Demonstrated experience developing agentic AI workflows or advanced AI systems for scientific data exploration,   interpretation   or workflow automation.   Proven ability to integrate and analyse multidimensional datasets spanning proteomics,   peptidomics , sequencing,   transcriptomics   and associated metadata to generate biological insight.   Ability to   operate   as an independent, hands-on technical contributor — combining scientific judgement with pragmatic engineering and delivery.   Excellent communication and collaboration skills, with   a track record   of translating complex scientific and technical concepts into solutions that scientific and technical users adopt.   Desirable criteria   Experience applying digital proteomics and AI-enabled approaches in oncology, immunology, cancer vaccines,   immunopeptidomics   or neoantigen discovery.   Experience designing data foundations, ontologies, harmonised analytical   environments   or reusable AI capabilities for large-scale scientific research.   Experience extending across   additional   omics modalities in partnership with domain specialists.   Track record   of innovation   evidenced   through deployed tools, software products, open-source contributions, peer-reviewed   publications   or conference presentations in proteomics,   peptidomics , AI or data science.   How we do it   At AstraZeneca,   we're   dedicated to being a Great Place to Work, where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit.   There's   no better place to make a difference in medicine, patients, and society. An inclusive culture that champions diversity and collaboration. Always committed to lifelong learning, growth, and development. Date Posted 09-Jul-2026 Closing Date 30-Jul-2026 Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.