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Data Scientist

2 months ago

Oxford, Oxfordshire, United Kingdom Lifelancer Ltd Full time
About the Role

We are seeking a highly skilled Data Engineer to join our team at Lifelancer Ltd. As a Data Engineer, you will play a critical role in developing and implementing algorithms, software tools, and databases for the analysis and interpretation of biological data.

Key Responsibilities
  1. Develop and Maintain Bioinformatic Pipelines: Design, implement, and maintain bioinformatic pipelines for processing and analyzing genomics, transcriptomics, and proteomics data.
  2. Design and Implement Algorithms: Develop and implement algorithms for biological data analysis, ensuring high-quality and scalable solutions.
  3. Liaise with Cross-Functional Teams: Collaborate with bioinformaticians, scientists, and other teams to understand project requirements and translate them into technical solutions.
  4. Optimize and Improve Systems: Critically identify flaws in the current system and propose solutions, optimizing existing algorithms and software tools for performance, scalability, and accuracy.
  5. Contribute to Software Development: Contribute to the development and maintenance of custom software applications, databases, and production-quality modules for the Immunocore pipeline database system.
  6. Stay Current with Advances: Stay up-to-date with advances in bioinformatics and data science, integrating new methodologies into our workflows.
  7. Collaborate with Cross-Functional Teams: Collaborate with cross-functional teams to integrate bioinformatic solutions into broader research projects and workflows.
  8. Document and Test Code: Document and test code, algorithms, and workflows, providing training and supporting guides as required.
  9. Implement Commercial Software Tools: Implement the integration of commercial software tools and platforms where appropriate.
Person Specification

We are looking for a highly skilled Data Engineer with the following experience and skills:

  • Deep Understanding of Python
  • Strong Experience with SQL and Database Management Systems
  • Practical Experience Developing Data Processing Pipelines
  • Experience Working in 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 skills include:

  • 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
  • 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 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 Non-Specialists
  • Exposure to Machine Learning, with Experience in Building Machine Learning Systems

We are an equal opportunities employer and welcome applications from all qualified candidates. No formal qualifications are required, but a degree-level computing degree is preferred combined with working experience as a professional data developer.