Postdoctoral Researcher

**Job Description**
An ambitious and talented postdoctoral researcher is sought to join the Zelezniak Lab at King’s College London, focusing on synthetic biology and AI to create next-generation tools for DNA, protein, and genome engineering, with a vision of building synthetic life. The role involves developing and applying deep learning methods to analyze single-cell modalities, specifically focusing on gene regulation and the engineering of microbial and human cells. The researcher will utilize cutting-edge AI approaches to design cellular phenotypes and optimize biochemical reactions, collaborating with experimental scientists to contribute to translational advances in synthetic biology and AI.

**Skills & Abilities**
• Extensive experience and expertise in applying/developing and training deep learning models on biological, chemical or related datasets
• Proficiency in Python for data science and machine learning
• Possess sufficient breadth or depth of specialist knowledge with deep learning architectures including generative models, particularly for sequence or structural data (e.g. transformers, graph neural networks, diffusion models)
• Proven experience in working independently and as part of a multidisciplinary team
• Strong communication and scientific writing skills
• Publication track record
• Extensive experience and expertise in version control (e.g., Git) and reproducible research practices
• Experience working with generative models or large language models (Desirable)
• Experience with large scale GPU-based model training and cloud computing (Desirable)
• Knowledge of synthetic biology or regulatory sequence design (Desirable)
• Previous collaboration with experimental biologists or interdisciplinary teams (Desirable)

**Qualifications**
Required Degree(s) in:
• Bioinformatics
• Computational Biology
• Related discipline

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