Lead Bioinformatics Software Engineer

1 month ago

Calgary, Alberta, Canada Roche Full time

Position Overview

Roche Diagnostics is a pioneering biotechnology organization committed to enhancing the realm of genomics and diagnostics. We are leaders in the development of advanced Next Generation Sequencing (NGS) technologies aimed at diagnostic applications and internal R&D initiatives. Our team comprises innovative scientists, engineers, and researchers dedicated to transforming healthcare through groundbreaking advancements. We are in search of a highly skilled and driven Software Engineer to become a vital part of our expanding team, focusing on the creation of high-performance, quality-driven NGS bioinformatics algorithms.

Role Summary

As a Software Engineer with a focus on Next Generation Sequencing Bioinformatics at Roche Diagnostics, you will be instrumental in designing, developing, and fine-tuning advanced algorithms to derive significant insights from genomic data. This role presents a unique chance to engage in innovative projects that influence the domains of diagnostics and precision medicine. You will collaborate closely with interdisciplinary teams of biologists, data scientists, and software engineers to construct robust, scalable, and efficient software solutions.

Key Responsibilities

  • Algorithm Development: Create, develop, and implement high-performance bioinformatics algorithms for the analysis of NGS data, including tasks such as variant calling, quality assessment, and data preprocessing.
  • Optimization: Continuously enhance and refine existing algorithms to boost performance and minimize resource consumption, facilitating efficient analysis of extensive genomic datasets.
  • Quality Assurance: Guarantee the reliability and precision of bioinformatics algorithms by constructing comprehensive test suites and collaborating with quality assurance teams to validate outcomes.
  • Software Integration: Seamlessly integrate bioinformatics algorithms into the company's software platforms, ensuring compatibility with existing workflows and pipelines.
  • Cross-functional Collaboration: Work alongside biologists, data scientists, and other software engineers to comprehend the specific needs and limitations of NGS data analysis for diagnostics and internal research.
  • Documentation: Develop thorough documentation for algorithms, code, and workflows to promote knowledge transfer and ensure reproducibility.
  • Technical Leadership: Mentor and provide technical support to junior engineers, nurturing a culture of innovation and learning within the team.
  • Research and Innovation: Stay informed about the latest developments in NGS and bioinformatics, actively participating in research and development initiatives to foster innovation within the organization.

Required Qualifications

  • Bachelor's degree or higher in Computer Science, Bioinformatics, Computational Biology, or a related discipline.
  • Demonstrated experience in developing bioinformatics algorithms for NGS data analysis.
  • Strong command of programming languages such as Python and C++.
  • Familiarity with relevant bioinformatics tools and libraries.
  • Experience in parallel computing, optimization, and performance enhancement.
  • Knowledge of GPU development and optimization is advantageous.
  • Excellent problem-solving abilities and meticulous attention to detail.
  • Strong communication and teamwork skills.
  • Experience in a regulated environment (e.g., FDA, CLIA) is a plus.

Be part of a dynamic and innovative organization that is pushing the boundaries of genomics and diagnostics. If you are enthusiastic about developing high-performance bioinformatics algorithms and eager to make a substantial impact in the healthcare sector, we welcome your application.

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