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Principal Bioinformatics Software Engineer

2 months ago

Québec, Quebec, Canada Roche Full time

About the Role

Roche Diagnostics is a pioneering biotechnology company dedicated to advancing the field of genomics and diagnostics. We are at the forefront of developing cutting-edge Next Generation Sequencing (NGS) technologies for diagnostic products and internal research and development. Our team is composed of forward-thinking scientists, engineers, and researchers who are passionate about revolutionizing healthcare through innovation.

Key Responsibilities

  • Design, develop, and implement high-performance bioinformatics algorithms for analyzing NGS data, including variant calling, quality control, and data preprocessing.
  • Continuously optimize and refactor existing algorithms to improve performance and reduce resource utilization, enabling efficient analysis of large-scale genomic datasets.
  • Ensure the reliability and accuracy of bioinformatics algorithms by writing rigorous test suites and collaborating with quality assurance teams to validate results.
  • Integrate bioinformatics algorithms into the company's software platforms, ensuring seamless compatibility with existing pipelines and workflows.
  • Collaborate with biologists, data scientists, and other software engineers to understand the specific requirements and constraints of NGS data analysis for diagnostics and internal research.
  • Create detailed documentation for algorithms, code, and workflows to facilitate knowledge transfer and ensure reproducibility.
  • Mentor and provide technical guidance to junior engineers, fostering a culture of innovation and learning within the team.
  • Stay up-to-date with the latest advancements in NGS and bioinformatics, and actively participate in research and development efforts to drive innovation within the company.

Requirements

  • Bachelor's or higher degree in Computer Science, Bioinformatics, Computational Biology, or a related field.
  • Proven experience in developing bioinformatics algorithms for NGS data analysis.
  • Strong proficiency in programming languages such as Python and C++.
  • Proficiency in relevant bioinformatics tools and libraries.
  • Experience with parallel computing, optimization, and performance tuning.
  • Experience with GPU development and optimization is a plus.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and teamwork skills.
  • Experience working in a regulated environment (FDA, CLIA) is a plus.