The data-driven network biology group is looking for a Research Fellow to join their mission to develop data-driven tools to control cell fate systematically. The data-driven network biology group is led by Dr Rackham, an Associate professor of Systems Biology at the University of Southampton and the theme lead for Cell and Molecular Medicine at the Alan Turing Institute. His team develops machine-learning and A.I.-based tools by combining wet and dry lab expertise.
We are looking to recruit a PhD or equivalent professional qualification in Computational Biology with a detailed understanding and knowledge of the processing and analysis of gene expression data from RNA and single-cell RNA sequencing. The applicant will have some experience in programming and an interest in how to apply ML/AI for solving biological problems. Knowledge of or experience with stem cell biology, gene regulatory networks and high-performance computing is beneficial.
This research study will develop machine-learning-based tools that can exploit the volume of single-cell RNA sequencing to develop our ability to control cell fate systematically. This project will involve the curation and deployment of large biological datasets. It is an exciting time in cell biology as both the volume of data and the maturity of A.I. have opened the possibility for new tools and technologies. The applicant should have expertise in computational biology and curiosity for solving complex biological questions through the application of algorithms.
This post is suitable for computational biologist/bioinformaticians with an interest in understanding cell fate control and a strong background in the development of computational/mathematical/statistical tools.LEARN MORE