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Bioinformatics Data Engineer
2 months ago
We are seeking a highly skilled Bioinformatics Data Engineer to join our team at Lifelancer. As a key member of our 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 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.
- 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.
- 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.
Lifelancer is a talent-hiring platform in Life Sciences, Pharma, and IT. We connect talent with opportunities in pharma, biotech, health sciences, healthtech, data science, and IT domains.
