Salary in the region of £36,737- £53,432- dependent on skills and experience (grade 1 or 2), plus excellent benefits
The Vento-Tormo lab is seeking a senior/principal bioinformatician (dependant on experience) to work on immunogenomics, developmental transcriptomics and genetics.
Our group aims to understand the influence of cellular micro-environments on defining cellular identities. To perform this research, we make use of state-of-the-art technological advances, such as (but not limited to): single cell transcriptomics and chromatin accessibility sequencing, spatial transcriptomics and whole genome sequencing. We have access to extensive collections of sample repositories through collaboration with local and international groups. We are significant contributors to the Human Cell Atlas and the Human Developmental Cell Atlas projects, an international project to systematically map all cells in the body across the lifespan.
You will be embedded in a multidisciplinary team and lead and coordinate an exciting research project constructing a transcriptomic map of germ cells and gametes across the lifespan. Your primary activities will be to: i) coordinate the project with project partners and team members; ii) analyse single cell and spatial transcriptomics data to characterise the cell states present in the tissue and their communication at different developmental and adult stages and suggested validation strategies to confirm your findings; iii) support and participate in the development of new computational methods to study cellular communication and gene regulatory networks from single-cell and spatial transcriptomics data. The position would suit a Bioinformatician/Statistician who enjoys developing algorithms and statistical modelling to analyse complex transcriptomics data sets.
For more information on our group visit www.VenToLab.org and the Vento-Tormo group page
PhD in relevant quantitative discipline (e.g. Computational Biology, Genetics, Bioinformatics, Physics, Engineering or Mathematics)
Demonstrated expertise in the management and analysis of very large data sets
Data handling skills
Critical and analytic thinking around problems
Experience programming in high level scripting languages (preferably R or python)
Excellent communication skills, ability to interact across multi-disciplinary team to develop and maintain good working relationship
Experience of writing manuscripts for publication
Ability to work within a team
Highly developed problem-solving skills
Ability to anticipate needs and problems while creating solutions
Demonstrable good time management and project management skills
Attention to detail
Experience developing statistical methods for the analysis of large data sets, particularly constrained generalised linear models and machine learning methods such as regularised logistic regression, decision trees, or support vector machines
Experience with image data analysis
For further information, full job description and to apply please visit; www.sanger.ac.uk/about/careers
Please find URL;- https://jobs.sanger.ac.uk/wd/plsql/wd_portal.show_job?p_web_site_id=1764... Please include a covering letter and CV with your application.
Closing date: 27th March 2019
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