- 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.
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Principal Bioinformatics Software Engineer - Alberta, Canada - Roche
Description
The Position
Roche Diagnostics is a cutting-edge biotechnology company dedicated to advancing the field of genomics and diagnostics. We are at the forefront of developing state-of-the-art 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. We are seeking a highly motivated and experienced Software Engineer to join our growing team and contribute to the development of high-performance, high-quality NGS bioinformatics algorithms.
Job Description
As a Software Engineer specializing in Next Generation Sequencing Bioinformatics at Roche Diagnostics, you will play a critical role in designing, developing, and optimizing cutting-edge algorithms to extract meaningful insights from genomic data. This position offers a unique opportunity to work on innovative projects that impact the fields of diagnostics and precision medicine. You will work closely with cross-functional teams of biologists, data scientists, and software engineers to build robust, scalable, and efficient software solutions.
Responsibilities
Algorithm Development: Design, develop, and implement high-performance bioinformatics algorithms for analyzing NGS data, including variant calling, quality control, and data preprocessing.
Optimization: Continuously optimize and refactor existing algorithms to improve performance and reduce resource utilization, enabling efficient analysis of large-scale genomic datasets.
Quality Assurance: Ensure the reliability and accuracy of bioinformatics algorithms by writing rigorous test suites and collaborating with quality assurance teams to validate results.
Software Integration: Integrate bioinformatics algorithms into the company's software platforms, ensuring seamless compatibility with existing pipelines and workflows.
Cross-functional Collaboration: 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.
Documentation: Create detailed documentation for algorithms, code, and workflows to facilitate knowledge transfer and ensure reproducibility.
Technical Leadership: Mentor and provide technical guidance to junior engineers, fostering a culture of innovation and learning within the team.
Research and Innovation: 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.
Qualifications
Join our team and be part of a dynamic and forward-thinking company that is pushing the boundaries of genomics and diagnostics. If you are passionate about developing high-performance bioinformatics algorithms and are eager to make a significant impact in the healthcare industry, we encourage you to apply.