Genomic Data Scientist (Genomics)

Location: London, United Kingdom; blended working model with office attendance expected at least twice each month. Office locations include London, Cambridge, and Leeds.

Salary from: £55,500 per year

Company

hirify.global enables genomic medicine and research through national-scale genomic datasets, healthcare software systems, and the NHS whole genome sequencing service.

What you will do

• Deliver genome analysis and interpretation projects for rare and complex disease research with external researchers and industry partners.
• Prepare genomic data through quality control, functional annotation, aggregation, and harmonisation across datasets.
• Perform custom analyses of whole genome sequencing and multi-omics data, including GWAS, aggregate variant testing, meta-analysis, differential abundance, fine-mapping, and Mendelian randomisation.
• Develop, fine-tune, benchmark, and improve computational tools and pipelines for genomic analysis.
• Support multidisciplinary teams and stakeholders with analytical planning, genomic dataset expertise, reports, documentation, and dissemination of findings.
• Contribute to scientific papers, white papers, and conference presentations.

Requirements

• Strong programming skills in R and Python, with a solid background in statistical genetics.
• Demonstrable experience using whole genome sequencing data in human genetics and a strong background in human disease genetics.
• Experience in human germline DNA analysis, such as genetic association testing, population genetics, pharmacogenomics, rare disease genomics, or structural variation analysis.
• Experience working with cloud environments, building containers, and running pipelines with workflow languages, ideally Nextflow.
• Ability to communicate with stakeholders across management, IT, R&D, biology, and bioinformatics, while handling sensitive patient cohort data.
• PhD in statistical or computational genetics, biostatistics, population genetics, or an equivalent quantitative discipline.

Nice to have

• Experience with long-read sequencing data or other omics modalities.
• Background in complex genomic regions such as HLA, KIR, or pharmacogenomics regions.

Culture & Benefits

• Blended working with flexibility to design working patterns with the team.
• 30 days of annual leave plus bank holidays and additional long-service leave.
• Option to apply for up to 30 days of remote working abroad annually, subject to approval.
• Defined contribution pension with employer double-matching up to 10%, life assurance, and family-friendly leave.
• Individual learning budgets, training and certification support, professional subscription reimbursement, wellbeing services, and subsidised gym membership.

Hiring process

• Successful candidates are subject to a Standard Disclosure and Barring Service check.
• Interview adjustments are available to support participation in the recruitment process.