Data is vital to our work, and our data team is responsible for the acquisition, processing and harmonisation of data sets linking genomic variation to human health and disease. As an Associate Scientist, you’ll help deliver the data for our ground-breaking, genome-derived insights for healthcare providers and individuals about the risk of future disease and to drive the discovery of novel therapeutic targets.
You’ve probably recently completed a BSc in a scientific or computational subject (or have equivalent experience) and you’re looking for a position that will help you build on your experience on bioinformatics and programming.
Working with Jamie Floyd - Senior Scientist - and as part of the data team, you’ll be responsible for:
- Managing the automated processing and ingestion of large-scale genetic and genomic datasets using existing protocols.
- Assessing diagnostic data to ensure processed data adheres to quality standards before being ingested into our database.
- Assisting in the definition and implementation of standards to enable effective downstream data discovery and analysis.
- Collaborating with scientists in our Precision Health and Therapeutics teams and interfacing with Software Development to ensure continuous improvement of Data Team services.
- Identifying novel published data sets for integration into our existing database.
- Supporting other data team activities such as data acquisition, maintenance of documentation, and other ad-hoc tasks as required.
To be successful in this role you’ll have the ability to prioritise multiple competing tasks, and you’ll be as happy working with a level of autonomy as you are within a team. You’ll be used to thinking logically, which will help you to develop and apply techniques in data engineering and data science to ensure timely, accurate and reproducible outcomes.
Along with your scientific or computational background, you might have some familiarity with modern human disease and/or genomics research, and experience of working with large-scale datasets, such as genome-wide datasets (GWAS, sequencing, or gene expression). While not essential, such experience would enable you to really hit the ground running.
You have an inquisitive mind, enjoy problem solving, and the ideal candidate would be able to both adhere to protocols and be able to identify areas where we can improve our processes. Quality is really important to you, and you like to make sure your work is of the highest possible standard. This is a fantastic opportunity for someone starting out in their scientific career to work in a fascinating field with a supportive team. If this is what you’re looking for, we’d love to hear from you.