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Senior Bioinformatics Algorithm Developer
2 months ago
Roche Diagnostics is a leading 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.
Job SummaryWe 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.
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.
- 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.