Genomics DataOps Engineer - Ingest, QC & Insights in Oxford

Genomics DataOps Engineer - Ingest, QC & Insights in Oxford

Oxford Full-Time 50000 - 50000 Β£ / year (est.) No working from home possible
Genomics PLC

At a Glance

  • Tasks: Transform large genomic datasets into trusted, analysis-ready resources with an agile team.
  • Company: Join Genomics plc, a leader in genomic data operations.
  • Benefits: Enjoy hybrid work options, competitive salary, and opportunities for professional growth.
  • Other info: Dynamic environment with a focus on innovation and scientific judgement.
  • Why this job: Make a real impact in genomics by handling cutting-edge data and insights.
  • Qualifications: Experience with GWAS stats, large-scale data, Python, and Unix/Linux required.

The predicted salary is between 50000 - 50000 Β£ per year.

Genomics plc is seeking a Data Operations Engineer to transform large genomic datasets into trusted, analysis-ready resources.

You will work within an agile Data Engineering team, handling data ingestion, QC, and schema design for new data types.

The role requires hands-on experience with GWAS stats or large-scale genotype/phenotype data, proficiency in Python and Unix/Linux, and a strong scientific judgement.

Hybrid work options are available in Oxford or London.

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Genomics DataOps Engineer - Ingest, QC & Insights in Oxford employer: Genomics PLC

Genomics plc is an exceptional employer, offering a dynamic work environment where innovation meets collaboration. With a strong focus on employee growth and development, team members are encouraged to enhance their skills while contributing to groundbreaking genomic research. The hybrid work options in Oxford or London provide flexibility, allowing for a balanced work-life integration in vibrant cities known for their rich scientific communities.

Genomics PLC

Contact Details:

Genomics PLC Recruitment Team

We think you need these skills to ace Genomics DataOps Engineer - Ingest, QC & Insights in Oxford

Python
SQL
Communication Skills
Problem-Solving Skills
Data Pipeline Development
Data Engineering
API Integration