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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI & Robotics Team - **Company:** The Ellison Institute Of Technology (eit) - **Location:** UK - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Bioinformatics, Computational Biology, Machine Learning, Peer-To-Peer (P2P) - **Published:** September 26, 2026 - **Apply:** https://www.nature.com/naturecareers/apply/12865040/postdoctoral-research-fellow-chin-lab-generative-biology-institute?LinkSource=JobDetails ## About the Role Relevant, Skills and Experience: * Completed a PhD in a relevant field (e.g., synthetic biology, computational biology and AI, microbial genomics, cell biology, genomics, robotics and automation, metabolomics, and proteomics.). * Track record of delivering ambitious research projects to a high standard. * Strong track record in research, ideally in molecular biology, synthetic biology, or related fields. * Skilled in data analysis and interpretation; experience with genomic analysis, automation, or computational tools desirable. * Proven ability to work independently, think creatively, and solve complex experimental problems. * Experience publishing in high-impact journals and presenting at international conferences. * Excellent organisational skills with the ability to manage multiple concurrent projects. * Strong written and verbal communication skills, with experience collaborating in multidisciplinary teams. * Capacity to build and sustain productive collaborations internally and externally. * Resilience, adaptability, and enthusiasm for working in a fast-paced, high-growth research environment. * Deep scientific curiosity and the drive to run ambitious experiments at scale, which can be used for the training and validating foundation models for the purpose of understanding and predicting an organism's phenotype from its genome and environment. * Basic familiarity with machine-learning concepts is welcome (what a model needs from data: coverage of the variable space, controls, replication, consistent metadata). ## Description We are building a joint experimental computational team focussed on building, training and validating multi-modal biological models. The team will: i) generate experimental perturbation and measurement data at scale, ii) build multi-modal biological models and, iii) use the experimental data they generate to train and validate the multi-modal biological models they build. In this role you will: i) perform experimental genome engineering work to generate genetic variation at scale and/or ii) design and implement scalable biological measurement over one or more modalities. Where appropriate the work will leverage the substantial automation capability within the institute. Your work will be performed under the guidance of Jason Chin. You will be part of a single team composed of AI scientists and synthetic biologists working together. We are looking for colleagues with deep expertise in genome engineering and/or quantitative phenotyping of model bacterial species such as Escherichia coli. The role requires the ability and willingness to work as part of a cross-disciplinary team at the interface of computational and wetlab biology. Our team ethos is based on mutual learning, strong peer-to-peer support, and a deep sense of scientific curiosity and ambition. This is your opportunity to be part of cutting-edge research within an institute dedicated to engineering biology at an unprecedented scale. You will be leveraging GBI's exceptional facilities, sustained funding, and collaborative environment. You will design and execute experiments, contribute to high-impact publications, and play a key role in the training and mentorship of junior researchers and students. Working at the interface of biology, AI, technology, and engineering, you will help shape GBI's vision to reimagine what's possible in biology., * Design, execute, and troubleshoot experiments, including the development of novel methodologies and adaptation of existing techniques to new applications. In particular, the successful applicant will utilise genome engineering strategies in the lab to produce a diversity of microbial strains as the source of training and validation data in a high throughput fashion. In addition, they will also design and prototype a range of experimental measurement strategies for characterising these strains at scale. * Collaborate with other GBI scientists from other groups expert in synthetic biology, automation, bioinformatics, -omics and machine learning, and AI scientists from the AIR institute, as required. * Analyse complex datasets using computational and statistical tools, interpreting results in the context of broader research goals. * Contribute intellectually to the research direction by identifying opportunities for innovation and refining research questions. * Prepare and publish high-quality scientific papers, reports, presentations, and protocols. * Present research at national and international conferences, seminars, and internal meetings. * Collaborate with multidisciplinary teams within GBI, EIT, and external partners to advance complementary workstreams. * Build and maintain research infrastructure, laboratory capabilities, and cutting-edge technologies. * Mentor and support junior researchers, including PhD students and research assistants. * Translate research findings into commercial or translational opportunities in alignment with EIT's mission. * Identify and pursue opportunities for intellectual property generation and protection. * Ensure research activities comply with EIT's policies, legal requirements, and best scientific practice. This list is not exhaustive and the role holder may be required to undertake additional tasks and duties commensurate with the role. ## Related Videos - [AI is dead, long live AK](https://www.wearedevelopers.com/videos/1093-ai-is-dead-long-live-ak) - [P2P networks in Blockchain](https://www.wearedevelopers.com/videos/209-p2p-networks-in-blockchain) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [AI is the Future of Accessibility - Karl Groves](https://www.wearedevelopers.com/videos/1710-ai-is-the-future-of-accessibility-karl-groves) - [Miner fee calculation and merchant API - new tools for the Bitcoin SV network](https://www.wearedevelopers.com/videos/28-miner-fee-calculation-and-merchant-api-new-tools-for-the-bitcoin-sv-network) - [What non-automotive Machine Learning projects can learn from automotive Machine Learning projects](https://www.wearedevelopers.com/videos/397-what-non-automotive-machine-learning-projects-can-learn-from-automotive-machine-learning-projects) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [How to start an AI project for a good cause and boost your career](https://www.wearedevelopers.com/magazine/15-how-to-start-an-ai-project-for-a-good-cause-and-boost-your-career)