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This is a exciting opportunity to work on developing cutting-edge genomics methods. The main focus will be on unravelling the intricate relationship between the sequence of the human genome and the development of common diseases. You will work on a collaborative project with Professor Ceclia Lindgen’s group at the Big Data Institute that aims to develop machine learning and laboratory-based approaches, for decoding how the human genome encodes gene expression levels. You will undertake large scale data generation from primary human samples using a method recently pioneered by the host laboratory ( Hua et al., Nature 2021).
If you are eager to gain experience in world leading genomics methods, this is a fantastic opportunity to work on a highly intellectually stimulating and collaborative project that aims to make a major impact on human health.
You will hold a degree in biological sciences with a period of relevant practical working experience within a laboratory. Experience in experimental work is essential including, molecular biology, high-throughput sequencing-based assays, cell culture and flow cytometry. Ideally candidates will have experience of FACS sorting and bioinformatics. You should be able to demonstrate the ability to work collaboratively and communicate research findings clearly and succinctly in presentations.
This position is available fixed term for 2 years, funded by a Wellcome Discovery Award.
Applications for this vacancy are to be made online. You will be required to upload a CV and supporting statement as part of your online application.
Closing date for this position is 12.00 noon on 8th May, 2024. Interviews to be held on Monday 20th May, 2024.
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