BioinformaticsData Engineer

Collaborate with interdisciplinary teams to develop and implement algorithms software tools and databases for the analysis and interpretation of biological data. Will assist in producing fully tested highquality software and bioinformatic workflows in response to user requirements. Will have influence in the development of the overall system architecture ensuring that projects are fit for purpose and scalable.

KEY RESPONSIBILITIES

Develop and maintain bioinformatic pipelines for processing and analysing 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. Optimise existing algorithms and software tools for performance scalability and accuracy.

Contribute to development and maintenance of custom software applications databases and productionquality 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 crossfunctional 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.

PERSON SPECIFICATION

Experience knowledge

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 Linux/Unix environment
• Familiar with cloud infrastructure
• Experience with API design and usage
• Excellent communication and collaboration abilities
• Strong problemsolving 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 omicsbased datasets
• Professional experience in the development of webbased applications
• Experience with autoscaling cloud tools or HPC
• Previously worked as part of a bioinformatics and/or software development teams
• 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
• Exposure to machine learning with experience in building machine learning systems

Education qualifications

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

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Remote Work :

No