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Computational Biologist (Fixed Term)
Department of Clinical Biochemistry
We are seeking a computational biologist to join our group's efforts to use human pluripotent stem cells and mouse models to illuminate disease mechanisms and discover potential therapies for obesity and neurodegenerative disease. The role offers an exceptional opportunity to join a friendly and diverse team with expertise in developmental and stem cell biology, neuroscience, gene editing, disease modelling, and computational biology in the laboratory of Dr. Florian Merkle (www.merklelab.org).
We are based at the highly collaborative environment and world-leading Wellcome Trust-MRC Institute of Metabolic Science (https://www.ims.cam.ac.uk/) at the University of Cambridge. This position is funded by the New York Stem Cell Foundation (NYCSF, https://nyscf.org/), and will enable the successful applicant to join an international network of investigators tackling major challenges in human health. Our group is also affiliated with the Cambridge Stem Cell Institute (https://www.stemcells.cam.ac.uk/) and we collaborate closely with the Open Targets academic-industrial partnership (https://www.opentargets.org/), and the UK Dementia Research Institute (UKDRI, https://ukdri.ac.uk/centres/cambridge).
The successful candidate will have the opportunity to contribute to a broad array of experiments involving rich 'omics datasets, multivariate analysis, and machine learning-based approaches, as well as the design and analysis of drug screens and high throughput cellular assays. Candidates with a curiosity about the underlying biology are likely to find this position particularly rewarding, as there are numerous projects to get involved in that could make a substantial contribution to human health. The position offers opportunities for technical and personal growth and career development, including access to professional computational training should the applicant wish to extend their skill set into a new area.
The Cambridge Centre for Data-Driven Discovery (C2D3) brings together researchers and expertise from across the academic departments and industry to drive research into the analysis, understanding and use of data science and AI. C2D3 is an Interdisciplinary Research Centre at the University of Cambridge.
- Supports and connects the growing data science and AI research community
- Builds research capacity in data science and AI to tackle complex issues
- Drives new research challenges through collaborative research projects
- Promotes and provides opportunities for knowledge transfer
- Identifies and provides training courses for students, academics, industry and the third sector
- Acts as a gateway for external organisations