Machine Learning Researcher in Bioinformatics (Research Fellow)

About You

To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria 1. PhD in bioinformatics, computational biology, or a related discipline 2. Extensive experience and expertise in applying/developing and training deep learning models on biological, chemical or related datasets 3. ​Proficiency in Python for data science and machine learning 4. ​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) 5. Proved experience in working independently and as part of a multidisciplinary team
6. ​Evidence of strong communication and scientific writing skills 7. ​Evidence of publication track record 8. ​Extensive experience and expertise in version control (e.g., Git) and reproducible research practices Desirable criteria 1. Experience working with generative models or large language models 2. Experience with large scale GPU-based model training and cloud computing 3. Knowledge of synthetic biology or regulatory sequence design 4. Previous collaboration with experimental biologists or interdisciplinary teams Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process. ## Further Information We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community. We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's. As part of this commitment to equality, diversity and inclusion and through this appointment process, it is our aim to develop candidate pools that include applicants from all backgrounds and communities. We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible. To find out how our managers will review your application, please take a look at our ‘ [How we Recruit]( pages. Interviews are due to be held Oct .