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Bioinformatics Engineer

Kleboe Jardine Ltd
Exeter
2 weeks ago
Applications closed

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Research Assistant/Associate in Statistical and Computational Genetics

Senior Scientist

My client is a successful and bespoke consultancy business operating throughout the UK. They have expertise in early-phase drug discovery, statistical genetics, precision medicine, translational genomics and engineering within the space. Their clients and partners span leading biotechs, pharma, and research groups.


This is a fantastic opportunity for aSenior or Lead Bioinformatics Engineerwith to join their growing team. The role is suited to engineers who have some prior knowledge or experience of bioinformatic datatypes and use of NextFlow.


This role will be pivotal in driving genetic research initiatives and contributing to cutting-edge solutions that enhance the companies services. You will provide expertise and leadership on collaborative client-facing projects, and also contribute to the development of in-house tools. At the Lead level, you will also operate as a mentor and supervisor to junior colleagues.


What you'll do:

  • Utilise R and/or Python, and any of Perl, C, C++, Java, JavaScript or Scala for programming.
  • Work with cloud platforms (predominantly GCP and AWS)
  • Implement and manage data ingestion modules to download and manage publicly available genomic and molecular data sources.
  • Ensure robust data processing pipelines and workflows for handling large-scale genomic data.
  • Build, populate and manage databases and/or warehouses used for access to and storage of biological data. Providing efficient I/O capabilities to connect data and use efficiently in data science workflows and products.
  • Utilise orchestration (e.g. Nextflow, Snakemake) and high-performance computing (e.g., SLURM, AWS Batch) frameworks.
  • Write efficient and optimised SQL queries for data manipulation and analysis
  • Build and maintain GUI, dashboards and website front-ends to enable user-friendly exploration of data or execution of data science workflows.
  • Build Microservices and APIs.
  • Oversee the existing pipelines and lead/support the design of the new pipelines and workflows based on on-prem or cloud-based high performance computing infrastructures.


Apply as directed above, or contact Campbell Pratt for a confidential discussion .

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