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Genomic Data Scientist; office locations

Remote / Online - Candidates ideally in
Cambridge, Cambridgeshire, CB21, England, UK
Listing for: Data Science Jobs UK
Full Time, Remote/Work from Home position
Listed on 2026-09-14
Job specializations:
  • Healthcare
    Data Scientist
  • Research/Development
    Data Scientist, Research Scientist
Salary/Wage Range or Industry Benchmark: 55500 - 65000 GBP Yearly GBP 55500.00 65000.00 YEAR
Job Description & How to Apply Below
Position: Genomic Data Scientist (we have office locations   )

Benefits

30 days holiday plus bank holidays Option for up to 30 days remote working abroad Enhanced maternity, paternity and shared parental leave Defined contribution pension (double-matched up to 10%) Life Assurance (3x salary) Give As You Earn scheme Individual learning budgets Training and certification support Annual professional subscription reimbursement Employee recognition programme Referral scheme Subsidised gym membership Free Headspace account Employee Assistance Programme Eye tests Flu jabs

Salary

Salary
£55,500 – £65,000 pa
Job Type Permanent
Work Pattern Full-time
Work Location Hybrid
Seniority Mid
Education Phd
Visa Sponsorship Available
Posted 25 Jun 2026 (3 months ago)

Company Description

Genomics England is a global leader in enabling genomic medicine and research, focused on creating a world where everyone benefits from genomic healthcare. Building on the 100,000 Genomes Project, we support the NHS’s world-first national whole genome sequencing service and run the growing National Genomic Research Library, alongside delivering numerous major genomics initiatives. By connecting research and clinical care at national scale, we enable immediate healthcare benefits and advances for the future.
Our mission is to provide the evidence and digital systems so that by 2035 genomics could play a role in up to half of all healthcare interactions, whilst securing the UK’s position as the best place to discover, prove and benefit from genomic innovations.
We are accelerating our impact and working with patients, doctors, scientists, government and industry to improve genomic testing, and help researchers access the health data and technology they need to make new medical discoveries and create more effective, targeted medicines for everybody.
Behind the Healthcare and Research outcomes, Genomics England delivers through designing, developing and operating complex healthcare software systems.
We're on the cusp of big changes with the real prospect of genomics becoming the fabric of everyday healthcare through the lifetime – from birth to old age.

Job Description

We are seeking a Genomic Data Scientist to join our Bioinformatics Consulting team to work on a range of genome analysis and interpretation projects with an emphasis in rare or complex disease, in collaboration with and on behalf of our external researchers and industrial partners.

Everyday Responsibilities Include

Preparing data for downstream analysis, e.g. through quality control, functional annotation, aggregation, harmonisation across different datasets.
Planning and supporting analyses to meet project objectives with internal teams and external stakeholders. Providing support to internal teams and collaborators and being the point of reference for genomic datasets and analytical approaches.
Performing custom computational analyses on whole genome sequencing and other omics data, such as GWAS, aggregate variant testing, meta-analysis, differential abundance, fine-mapping and MR.
Researching the scientific literature, identifying new approaches to processing and analysis of genomics and multi-omics data, benchmarking and improving tools.
Contributing To The Publication And Dissemination Of Findings Via Scientific Papers, White Papers And Conference Presentations.

Skills And Experience For Success

Strong programming skills (R, Python) and 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, demonstrated by publication record or industry track record.

Demonstrable experience in working with long read sequencing data (preferred) or other omics modalities.

Proven track record in one…

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