Genomic Data Scientist - (we have office locations in Cambridge, Leeds & London)
$56,594–$56,594 year
HybridLondon, England, United Kingdom
Job Summary
Prepare data for downstream analysis through quality control, functional annotation, aggregation, and harmonization. Plan and support analyses to meet project objectives with internal teams and external stakeholders, serving as the point of reference for genomic datasets. Perform custom computational analyses on whole genome sequencing and other omics data, including GWAS, aggregate variant testing, meta-analysis, and fine-mapping. Research scientific literature to identify new approaches, benchmark tools, and improve pipelines. Contribute to the publication and dissemination of findings via scientific papers, white papers, and conference presentations.
Required Qualifications
- Strong programming skills (R, Python)
- Solid background of statistical genetics
- Demonstrable experience using whole genome sequencing data in the context of human genetics
- Strong background in human disease genetics, preferably in rare or complex disease
- Demonstrable experience with at least one additional omics modality (e.g. long read sequencing, single cell transcriptomics, proteomics, metabolomics)
- Proven track record in one or more areas of human germline DNA analysis such as genetic association testing, population genetics, pharmacogenomics, rare disease genomics, structural variation analysis, working with complex genomic regions such as HLA/KIR/PGx
- Experience with working in the cloud, building containers, and running pipelines in nextflow
- Proven ability to communicate with stakeholders from diverse backgrounds (e.g. management, IT, R&D, biology, bioinformatics) and keep track of customer relationships
- Clear understanding of clinical and phenotypic data management and the sensitivities surrounding patient cohort data
- Excellent interpersonal skills
- Attention to detail
- Self-motivation
- Collaborative and delivery mindset
- A PhD involving one of the following: Statistical or Computational Genetics, Biostatistics, Population Genetics or equivalent quantitative discipline
- Minimum of 2 times each month office attendance
- Disclosure of any previous offences for DBS check
Desired Qualifications
- Demonstrated ability to develop and fine-tune tools and pipelines to perform custom computational analyses
- Experience generating new data and contributing to high quality reports and documentation
- Proven track record in publication and dissemination of findings via scientific papers, white papers and conference presentations
- Researching the scientific literature, identifying new approaches to processing and analysis of genomics and multi-omics data, benchmarking and improving tools
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