Senior Scientist/Associate Principal Scientist, AI

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About the role

Key Responsibilities As an AI Scientist/Senior Scientist, you will: • Design, develop, benchmark, and implement advanced AI/ML models (self-supervised and supervised) for biologics discovery and engineering, including protein language models, structure prediction models, de novo design algorithms, and multi-modal approaches that integrate sequence, structure, biological, biochemical, biophysical, and functional data. • Collaborate closely with wet lab scientists (primarily based in the UK and US) to guide experimental design, ensure the generation of high-quality, relevant datasets, and curate and manage wet lab data for modeling purposes. • Analyze and interpret complex biological data, integrating machine learning with domain knowledge in protein science, biochemistry, biophysics, structural biology, and therapeutics development. • Keep abreast of the latest developments in AI, computational biology, and biologics engineering; proactively identify and evaluate innovative technologies and methodologies relevant to biologics R&D. • Effectively communicate complex technical concepts and results to multidisciplinary teams and stakeholders, bridging the gap between computational and experimental domains. • Contribute to high-impact scientific publications, patent filings, and strategic collaborations both internally and externally. • Collaborate cross-functionally in developing agentic AI solutions to address critical questions related to biologics engineering. • Identifying and building local partnership opportunities (academic or industry) to accelerate impact in AI-driven biologics discovery Required Qualifications • Master or equivalent experience in mathematics, physics, computer science, computational biology, bioinformatics, or a related discipline. • Hands-on experience in developing and applying machine learning/deep learning models, preferably for biological sequences (proteins, antibodies, peptides) or structures, in both self-supervised and supervised ways. • Demonstrated programming proficiency in Python (and relevant ML/AI frameworks such as TensorFlow, PyTorch, JAX). • Experience with multi-modal machine learning or integrating heterogeneous data types (such as sequence, structure, functional data). • Experience in handling, curating, and analyzing large-scale biological 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 modeling, structure prediction, or de novo design. • Experience and expertise in agentic AI development • Familiarity with large-scale cloud computing and modern data engineering practices. • Publication record in top-tier AI, computational biology, or protein engineering journals/conferences. • Understanding of biologics drug discovery. Why Join Us? At AstraZeneca’s Beijing R&D Center, you will be at the forefront of AI-driven biologics innovation. You’ll have the opportunity to work with leading experts across biology and data science, leverage state-of-the-art technologies, and make a tangible impact on the next generation of biologic medicines. We offer a collaborative, inclusive, and scientifically inspiring environment, with strong support for your professional growth. Date Posted 29-9月-2026 Closing Date AstraZeneca embraces diversity and equality of opportunity.  We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills.  We believe that the more inclusive we are, the better our work will be.  We welcome and consider applications to jo

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