As we continue to unlock our planet’s biodiversity, we are looking for ambitious people with a passion for the development of extraction and sequencing workflows to continuously improve our data generation.
You will have the opportunity to help further build out our DNA / RNA pipelines to build the most diverse database in the world, with a particular focus on metagenomic recovery from challenging and varied sample types - water, soil, sediments, faeces, biofilms and beyond. You’ll be comfortable with sequencing workflows from end to end, from extraction through to library preparation, and have experience with both short and long read technologies, including high molecular weight (HMW) extraction methods.
You’ll bring real depth in metagenomic extraction methodologies and the ability to recover usable nucleic acids from difficult, low-biomass or inhibitor-rich matrices. Virology experience in both extraction and sequencing would also be beneficial to this role. You’ll understand when good is good enough and can support handover for testing and implementation in production.
Your work will contribute directly to Basecamp Research’s Trillion Gene Atlas Project, helping transform diverse global samples into high-quality biological data that can reveal new genes, proteins, pathways, and functions from nature.
The role is laboratory based but you will have ownership over your projects, with the opportunity to work closely with our Collaborations team who coordinate sample collection globally, and to have input into the methods for collection or extraction and the molecular biology methods that are applied to a global network of collaborators, seeing your work make an impact in real-time.
The role will suit someone with experience who enjoys the technically focused aspects of development, from rapid prototyping to delivery. You’ll also have the opportunity to work with the Data teams, who may have specific requirements for particular targeted methods, all with the aim of increasing our database diversity, data quality and scalability. You will work in a data-first environment, using experimental and sequencing-quality metrics to guide method development, prioritisation, and handover into production.