Scientist in Population-Scale Single Cell Analysis
3 giorni fa
We are seeking highly motivated scientists to work on cutting-edge computational projects at the interface of immunology and disease biology. This is an exciting opportunity to apply latest statistical approaches to extract and test disease and environmental perturbation signatures from the integration with genetics and clinical phenotypes.
The successful candidates will have the chance to develop and implement a research programme based on latest advances in single-cell genomics and population-scale approaches. They will also be involved in the development and benchmarking of novel statistical methods for combining genomic information with functional genomics and disease endpoints across biobank-scale datasets.
Responsibilities and Requirements- Develop and implement a research programme based on latest advances in single-cell genomics and population-scale approaches;
- Manage experimental and analytical workflows within their project;
- Implement, benchmark and run long-read sequencing/pangenome workflows and pipelines;
- Generate reliable data for publication in their project and recording all data and results in specified forms (paper and electronic);
- Publish reproducible research;
- Supervise master's and PhD students;
- Present, share and discuss research results within their group, collaborators and scientific conferences;
- Proactive interaction with the research team, the Genome Analysis Unit, the Biostatistics Unit and the Genomics Facility;
- PhD in Computational Biology, Machine Learning, Immunogenomics, Statistical genetics or related fields;
- Deep experience in analysing single-cell sequencing technologies and their outputs;
- Strong experience working with genomic data in a HPC environment;
- Proven scientific track record, such as publications in journals or conferences;
- Advanced programming skills in scripting (e.g R/Python);
- Fluency in English – HT is an international research institute.
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