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# Associate Director, Digital Proteomics and AI Innovation

- **Company:** AstraZeneca plc
- **Location:** Gaithersburg, MD, United States
- **Experience:** Experienced
- **Salary:** $153,481.0 - $230,221.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Bioinformatics, Computational Biology, Information Technology
- **Published:** September 26, 2026
- **Apply:** https://www.jofdav.com/jobs/59881326-associate-director-digital-proteomics-and-ai-innovation

## About the Role

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

 * 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

 * PhD in proteomics, computational biology, bioinformatics, data science, biostatistics, computer science or a related discipline.

 * 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.



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