# Senior Scientist/Associate Principal Scientist, AI for small-molecule at AstraZeneca

AstraZeneca is hiring a Senior Scientist/Associate Principal Scientist, AI for small-molecule. Level rates it Builds AI ●●●●; you can [apply on AstraZeneca](https://jobsbylevel.com/go/93590c23-f78a-4211-b079-3a8b90f105a4?utm_medium=ai-agent).

AI Level 4, AI centrality 90 out of 100. Beijing Yizhuang.

## Details

- Company: [AstraZeneca](https://jobsbylevel.com/companies/astrazeneca)
- AI level: AI Level 4 (score 90 out of 100)
- Location: Beijing Yizhuang
- Posted: September 24, 2026
- Apply: https://jobsbylevel.com/go/93590c23-f78a-4211-b079-3a8b90f105a4?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=senior-scientist-associate-principal-scientist-ai-for-small-molecule-at-astrazeneca-f94d5b

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## Description

About the Role: We are seeking a driven, creative, and collaborative AI scientist to join our newly established Chemistry AI Innovation Team at the Beijing R&D Center. This world-class team will focus on developing cutting-edge AI models to revolutionize small-molecule hit-finding and optimization. You will work in close partnership with global chemistry AI/data scientists and chemists in the UK, the US, and Sweden, enabling rapid data generation, curation, and model training with innovative computational approaches. This is a fantastic opportunity to shape the future of drug discovery through impactful AI-driven science, in a vibrant, newly formed team at the heart of AstraZeneca’s research network. Key Responsibilities you will: Design, develop, benchmark, and implement advanced AI/ML models (self-supervised and supervised) for small molecule drug discovery, including structure prediction co-folding models, affinity prediction models, and de novo design algorithms. Collaborate closely with expert medicinal and computational chemists, across AZ sites, to discover optimized hits as starting points for new drug discovery projects. Integrate machine learning with domain knowledge in chemistry, biophysics, structural biology, and drug discovery. Ensure generation of high-quality, validated predictions and incorporate new experimental and computational data into models. Collaborate cross-functionally in developing Chemistry AI solutions to address critical questions related to small molecule drug discovery, including predictive and agentic solutions. Effectively communicate complex technical concepts and results to multidisciplinary project teams and stakeholders. Keep abreast of the latest developments in AI for Science, computational chemistry, and structure prediction; proactively identify and evaluate innovative technologies and methodologies relevant to drug discovery. Identifying and building strategic partnership opportunities in China (academic or industry) to accelerate impact in AI-driven drug discovery Contribute to high-impact scientific publications and patent filings. Required Qualifications Depending on the career level, a PhD or Master’s degree in Computer Science, Computational Chemistry, Structural Biology, or a related AI for Science discipline. Hands-on experience in developing and applying machine learning/deep learning models for small molecules or biologics, in both self-supervised and supervised ways. Experience and expertise in training, retraining, and fine-tuning AI models with new data and towards differentiated scientific applications. Demonstrated programming proficiency in Python (and relevant ML/AI frameworks such as TensorFlow, PyTorch, JAX). Experience in handling, curating, and analyzing large-scale scientific datasets. Ability to work collaboratively in a fast-paced, multidisciplinary, and cross-geographical research environment. Clear and effective communication skills, with fluency in English. Preferred Qualifications Knowledge of state-of-the-art approaches in protein structure prediction, including co-folding with different modalities, e.g. proteins, ligands, oligonucleotides. Experience with multi-modal machine learning or integrating heterogeneous data types (such as molecules, protein structure data, experimental data). Familiarity with large-scale cloud computing and modern data engineering practices. Publication record in top-tier AI, computational chemistry, or cheminformatics. journals/conferences. Understanding of small molecule drug discovery and computational chemistry approaches. Why Join Us? AstraZeneca is a global, science-led biopharmaceutical company committed to transforming patients’ lives through innovative medicines. In Oncology R&D, we combine deep biological insight with state-of-the-art AI to accelerate molecular design and decision-making. Our teams operate in an open, collaborative environment across Beijing (China), Cambridge (UK) and Boston (USA), sharing best

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