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Bioinformatics Data Engineer

2 months ago

Oxford, Oxfordshire, United Kingdom Lifelancer Full time
Job Description

Lifelancer is seeking a highly skilled Bioinformatics Data Engineer to join our team. As a key member of our interdisciplinary team, you will be responsible for developing and implementing algorithms, software tools, and databases for the analysis and interpretation of biological data.

Key Responsibilities:
  • Develop and Maintain Bioinformatics Pipelines: Design, implement, and maintain bioinformatics pipelines for processing and analyzing genomics, transcriptomics, and proteomics data.
  • Algorithm Development: Design and implement algorithms for biological data analysis, ensuring high-quality and scalable solutions.
  • Collaboration and Liaison: Work closely with bioinformaticians and wider scientific teams to understand project requirements and translate them into technical solutions.
  • System Optimization: Critically identify flaws in the current system and propose solutions, optimizing existing algorithms and software tools for performance, scalability, and accuracy.
  • Software Development: Contribute to the development and maintenance of custom software applications, databases, and production-quality modules for the Immunocore pipeline database system.
  • Staying Current: Stay up-to-date with advances in bioinformatics and data science, integrating new methodologies into our workflows.
  • Integration and Documentation: Collaborate with cross-functional teams to integrate bioinformatics solutions into broader research projects and workflows, documenting and testing code, algorithms, and workflows.
Requirements:
  • Essential: Deep understanding of Python, strong experience with SQL and database management systems (e.g., MySQL, PostgreSQL, Oracle), practical experience developing data processing pipelines, experience working in a Linux/Unix environment, familiarity with cloud infrastructure, experience with API design and usage, excellent communication and collaboration abilities, and strong problem-solving skills and attention to detail.
  • Desirable: Proven experience as a Data Engineer or in a similar role, skills in R programming, experience of pipeline development with knowledge of domain-specific languages such as Nextflow and Snakemake, familiarity with bioinformatics tools and methodologies, exposure to the analysis of large biological omics-based datasets, professional experience in the development of web-based applications, experience with autoscaling cloud tools or HPC, previously worked as part of a bioinformatics and/or software development team, excellent version control habits, adept at writing comprehensive unit tests, experience in Agile methodology, an interest in cancer immunology, molecular biology, or genetics, an ability to explain software development concepts to nonspecialists, and exposure to machine learning with experience in building machine learning systems.
Education and Qualifications:

No formal qualifications are required, but a degree-level computing degree is preferred, combined with working experience as a professional data developer.