Genomic Data Engineering Specialist

4 days ago

London, Greater London, United Kingdom Our Future Health Full time
Transforming Health Research with Data Engineering Expertise

We are seeking a highly skilled Genomic Data Engineering Specialist to join our multidisciplinary team at Our Future Health. This is an exciting opportunity to contribute towards the delivery of data releases that will be used worldwide.

In this role, you will work closely with scientists, software engineers, product managers, and other data engineers to facilitate discussions and communicate technical information to both technical and non-technical stakeholders. Your key responsibilities will include:

  • Building data pipelines from data providers to our primary data store and trusted research environment.
  • Producing logic for data transformation steps as code, ensuring high-quality, accessible, and well-curated data for analysis.
  • Developing prototypes for complex transformations drawing on existing workflows developed in industry and academia.
  • Staying up-to-date with best practices in data engineering across industry, research, and government, and facilitating the adoption of standards.
  • Providing technical input into upstream parts of the data pipeline, including specification and transfer of data from data providers.
  • Performing routine ad-hoc data curation activities requiring hands-on development of bespoke ETL cleaning scripts using languages such as Python.

To succeed in this role, you will have a solid understanding and experience of bioinformatics, particularly tools and methods associated with genomic data. You should possess some of the following skills:

  • Experience working in an agile development team following best practices like code review and pairing.
  • Familiarity with version control and Git/GitHub.
  • Able to design, build, and test pipelines using various technologies, creating repeatable and reusable products.
  • Experience with storing, searching, and filtering large-scale genomic data.
  • Good understanding of cloud environments (ideally Azure), distributed computing, and scaling workflows and pipelines.
  • Proficient in Python.
  • Experience with workflow management tools, e.g., Nextflow, WDL/Cromwell, Airflow, Prefect, Dagster.
  • Understanding of common data transformation and storage formats, e.g., Apache Parquet.
  • Experience with data lakes and Spark/Databricks.
  • Understanding of containerisation, e.g., Docker.
  • Awareness of data standards such as GA4GH and FAIR.
  • Understanding and working knowledge of information governance and data security approaches suitable for sensitive health data.

This role offers a competitive basic salary of £60,000 per annum, along with a generous company pension package, 30 days annual leave, continuous career development opportunities, and flexible working arrangements.

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