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Bioinformatics Engineer

2 months ago

Oxford, Oxfordshire, United Kingdom Lifelancer Full time
Job Title: Bioinformatics/Data Engineer

We are seeking a highly skilled Bioinformatics/Data Engineer to join our team at Lifelancer, a talent-hiring platform in Life Sciences, Pharma, and IT.

Job Summary

The successful candidate will be responsible for developing and implementing algorithms, software tools, and databases for the analysis and interpretation of biological data. This role requires strong expertise in bioinformatics, data engineering, and software development.

Key Responsibilities
  • Develop and maintain bioinformatic pipelines for processing and analyzing genomics, transcriptomics, and proteomics data.
  • Design and implement algorithms for biological data analysis.
  • Liaise with bioinformaticians and wider scientific teams to understand project requirements and translate them into technical solutions.
  • Critically identify flaws in the current system and propose solutions.
  • Optimize existing algorithms and software tools for performance, scalability, and accuracy.
  • Contribute to the development and maintenance of custom software applications, databases, and production-quality modules for the Immunocore pipeline database system.
  • Stay current with advances in bioinformatics and data science and integrate new methodologies into our workflows.
  • Collaborate with cross-functional teams to integrate bioinformatic solutions into broader research projects and workflows.
  • Document and test code, algorithms, and workflows. Provide training and supporting guides as required.
  • Implement the integration of commercial software tools and platforms where appropriate.
Requirements
  • 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.
  • Strong problem-solving skills and attention to detail.
Desirable Qualifications
  • 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 non-specialists.
  • Exposure to machine learning, with experience in building machine learning systems.
Education Qualifications

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