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Genomic Data Scientist - FTC; office locations

Remote / Online - Candidates ideally in
Cambridge, Cambridgeshire, CB21, England, UK
Listing for: Genomics England
Full Time, Part Time, Contract, Remote/Work from Home position
Listed on 2026-10-09
Job specializations:
  • IT/Tech
    Data Scientist, AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 57000 GBP Yearly GBP 57000.00 YEAR
Job Description & How to Apply Below

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 cutting-edge team based on a 12-month fixed-term contract.

You will work in an agile, collaborative environment as part of a multidisciplinary team, providing strong analytical and programming skills for germline and somatic variant analyses for our cancer pipeline squad.

Everyday responsibilities include:
  • Developing and fine-tuning algorithms for variant prioritization and classification for cancer diagnostics and screening.
  • Benchmarking and improving tools for processing and analyzing whole genome data and performing custom computational analyses.
  • Managing the full cycle of NGS data analysis, from sequencing QC to annotation and prioritization of variants
Skills and experience for success:
  • Proficiency in using Python and R for efficient data processing and analysis.
  • Knowledge of statistics and/or machine learning.
  • Familiarity with high-throughput sequencing algorithms.
  • Expertise in cancer genomics, understanding tumor drivers, and interpreting genomic data through targeted pathways.
  • Hands‑on experience in developing high-quality, reusable code, with a strong command of Git and CI/CD practices.
  • Ability to evaluate statistical and machine learning techniques, apply them in practical scenarios, and interpret results while considering the assumptions and limitations of the methods.
  • Experience working in cross-functional analytical team in an academic or industry setting.
Qualifications

PhD degree or equivalent practical experience in an industry setting.

Additional Information

Salary from: £57,000

Please note the successful applicant will be based at our Canary Wharf office 1 day per week.

Being an integral part of such a meaningful mission is extremely rewarding in itself, but in order to support our people, we’re continually improving our benefits package. We pride ourselves on investing in our people and supporting them to achieve their career goals, as well as offering a benefits package including:

  • Generous Leave: 30 days’ holiday plus bank holidays, additional leave for long service, and the option to apply for up to 30 days of remote working abroad annually (approval required).
  • Family-Friendly:
    Blended working arrangements, flexible working, enhanced maternity, paternity and shared parental leave benefits.
  • Pension & Financial:
    Defined contribution pension (Genomics England double-matches up…
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