Make a meaningful impactonpatientslives around theworld

At AstraZeneca, we are combiningcutting-edgescience,dataand 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,immunopeptidomicsand 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 proteomicsexpertisewith the practical engineering judgement needed to design,deployand scale AI systems that scientific usersactually relyon.

Whatyou'lldo

As Associate Director, Digital Proteomics and AI Innovation within CGR, you will:

• Identifyhigh-value workflow opportunitieswhere agentic AI can transform how proteomic,peptidomicand multi-omicdata are explored, integrated,interpretedand automated.

• Design, build, deploy and iterateAI-enabled systems including agentic workflows that are usable,maintainableand integrated into real scientific practice.

• Bring deep domainexpertisein mass spectrometry, proteomics andpeptidomicsto shape data standards, analyticalapproachesand biological interpretation, withparticular relevancetoimmunopeptidomicsand neoantigen-centric workflows.

• Drive integrative analysisacross proteomics,peptidomics, sequencing,transcriptomicsand experimental metadata to generate translational insight.

• Partner withinformaticians,data andmass spectrometry scientistswithin CGR, and collaborate closely with scientific stakeholders in AstraZeneca Infectious Disease and Oncology, to embed AI capabilities into scalable, governed analytical environments.

• Contribute technicalexpertiseto scientific discussions, sharing knowledge with colleagues and engaging with internal and external scientific communities.

Essential criteria

• 3 plus years of experience and an advanced degree, PhD or equivalent experience.

• Deepexpertisein mass spectrometry-based proteomics andpeptidomics, including a working understanding of experimental design, data characteristics,limitationsand interpretation challenges.

• Strong hands-on data science and software delivery experience, witha track recordof building,deployingandmaintaininganalytical or AI-enabled systems used by scientific teams.

• Demonstrated experience developing agentic AI workflows or advanced AI systems for scientific data exploration,interpretationor workflow automation.

• Proven ability to integrate and analyse multidimensional datasets spanning proteomics,peptidomics, sequencing,transcriptomicsand associated metadata to generate biological insight.

• Ability tooperateas an independent, hands-on technical contributor combining scientific judgement with pragmatic engineering and delivery.

• Excellent communication and collaboration skills, witha track recordof translating complex scientific and technical concepts into solutions that scientific and technical users adopt.

Desirable criteria

• PhD in proteomics, computational biology, bioinformatics, data science, biostatistics, computerscience or a related discipline.

• Experience applying digital proteomics and AI-enabled approaches in oncology, immunology, cancer vaccines,immunopeptidomicsor neoantigen discovery.

• Experience designing data foundations, ontologies, harmonised analyticalenvironmentsor reusable AI capabilities for large-scale scientific research.

• Experience extending acrossadditionalomics modalities in partnership with domain specialists.

• Track recordof innovationevidencedthrough deployed tools, software products, open-source contributions, peer-reviewedpublicationsor conference presentations in proteomics,peptidomics, AI or data science.

How we do it

At AstraZeneca,we'rededicated to being a Great Place to Work, where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit.There'sno 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

Closing Date