practice of commit early and deploy often Preferred qualifications: Experience with Docker or containerized applications, especially architecture of multi-container applications Demonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience, especially design of data visualisations Knowledge of agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen More ❯
Cambridge, England, United Kingdom Hybrid / WFH Options
Aspire Life Sciences Search
equivalent practical expertise in areas such as generative AI, deep learning, or computational biology Proven experience applying AI techniques to biological challenges, particularly in areas like protein design or genomics Demonstrated success in leading high-impact AI projects and delivering real-world solutions Exceptional communication skills, capable of engaging with both technical and non-technical stakeholders Experience training large generative More ❯
cambridge, east anglia, united kingdom Hybrid / WFH Options
Aspire Life Sciences Search
equivalent practical expertise in areas such as generative AI, deep learning, or computational biology Proven experience applying AI techniques to biological challenges, particularly in areas like protein design or genomics Demonstrated success in leading high-impact AI projects and delivering real-world solutions Exceptional communication skills, capable of engaging with both technical and non-technical stakeholders Experience training large generative More ❯
Saffron Walden, Essex, South East, United Kingdom Hybrid / WFH Options
EMBL-EBI
and bioinformaticians working closely together with biologists and scientists. The UniProt resource is one of the most internationally used protein databases serving a large and diverse research community in genomics, proteins and proteomics. As part of your daily work, you will be developing a new database management system and software for UniProt data. You will be working in the design More ❯
