Unlocking Human Health: Bioinformatics Data Engineer
1 day ago
We are seeking a skilled Bioinformatics Data Engineer to join our multidisciplinary team at Our Future Health, a charity dedicated to preventing disease. The successful candidate will have experience in bioinformatics and a solid understanding of genomic data.
This is an exciting opportunity to contribute towards the delivery of data releases that will be used worldwide. You will be part of a team creating pipelines that didn't exist before, owning them in production, and improving them over time.
Your key responsibilities will include:
- Supporting the build of data pipelines from data providers to our primary data store and trusted research environment.
- Producing logic for data transformation steps as code, which meets the requirements for our end users and builds well curated, accessible, and quality controlled data for analysis.
- Developing prototypes for pipelines for complex transformations drawing on existing workflows developed in industry and academia.
- Keeping abreast of best practice in data engineering across industry, research, and Government and facilitating the adoption of standards.
- Providing technical input into the upstream parts of the data pipeline, including the specification and transfer of data from data providers.
The ideal candidate will have:
- A solid understanding of bioinformatics, particularly tools and methods associated with genomic data.
- Experience of working in an agile development team following best practices like code review and pairing.
- Familiarity with version control and Git/GitHub.
- Ability to design, build, and test pipelines using a range of different technologies.
- 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 of workflow management tools, e.g., Nextflow, WDL/Cromwell, Airflow, Prefect, Dagster.
- Understanding of common data transformation and storage formats, e.g., Apache Parquet.
- Experience of working with data lakes; experience with 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 appropriate for sensitive health data.
You will have the opportunity to work with researchers to understand data requirements and deliver the data needed for their projects. We offer a competitive salary of up to £60,000 per annum, a generous company pension package with employer contributions of up to 12%, 30 days annual leave, and continuous career development opportunities.
Our lovely new office is located in Holborn, Central London, and we offer flexible and remote working arrangements.
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