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Bioinformatics & Data Engineering Specialist

2 months ago

Oxford, Oxfordshire, United Kingdom Lifelancer Full time

About the Role

We are seeking a talented Bioinformatics & Data Engineer to join our dynamic team. In this role, you will play a crucial part in developing and implementing cutting-edge algorithms, software tools, and databases for analyzing complex biological data. Your expertise will be instrumental in transforming raw data into valuable insights that drive scientific discovery.

Key Responsibilities

  • Design and construct robust bioinformatic pipelines to process and analyze genomics, transcriptomics, and proteomics data.
  • Develop innovative algorithms for biological data analysis, pushing the boundaries of scientific understanding.
  • Collaborate closely with bioinformaticians and researchers to understand project requirements and translate them into effective technical solutions.
  • Identify areas for improvement within existing systems and propose innovative solutions to enhance performance, scalability, and accuracy.
  • Contribute to the development and maintenance of custom software applications, databases, and production-quality modules for our core data management system.
  • Stay at the forefront of advancements in bioinformatics and data science, integrating new methodologies into our workflows.
  • Work seamlessly with cross-functional teams to integrate bioinformatic solutions into broader research projects and workflows.
  • Document code, algorithms, and workflows meticulously, providing comprehensive training materials and support guides as needed.
  • Implement the integration of commercial software tools and platforms where appropriate, leveraging industry best practices.

Qualifications

  • A deep understanding of Python programming is essential.
  • Strong experience with SQL and database management systems (e.g., MySQL, PostgreSQL, Oracle) is required.
  • Practical experience developing data processing pipelines is crucial for success in this role.
  • Familiarity with Linux/Unix environments is a must.
  • Experience with cloud infrastructure is highly desirable.
  • Proven skills in API design and usage are essential.
  • Excellent communication and collaboration abilities are key to thriving in this team-oriented environment.
  • Strong problem-solving skills and meticulous attention to detail are essential for success.

Desirable Skills

  • Experience as a Data Engineer or in a similar role is highly advantageous.
  • Skills in R programming would be beneficial.
  • Knowledge of pipeline development with domain-specific languages, such as Nextflow and Snakemake, is a plus.
  • Familiarity with bioinformatics tools and methodologies is an asset.
  • Exposure to the analysis of large biological omics-based datasets is valuable.
  • Professional experience in developing web-based applications is desirable.
  • Experience with autoscaling cloud tools or HPC is a plus.
  • Previous work as part of bioinformatics and/or software development teams is beneficial.
  • Excellent version control habits are essential.
  • Adeptness at writing comprehensive unit tests is highly valued.
  • Familiarity with Agile methodology is advantageous.
  • An interest in cancer, immunology, molecular biology, or genetics is a plus.
  • The ability to explain software development concepts to non-specialists is valuable.
  • Exposure to machine learning, with experience in building machine learning systems, is highly desirable.

Education

While formal qualifications are not strictly required, a degree-level computing degree combined with relevant professional experience as a data developer is preferred.