Principal Software Engineer

Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

The Position

A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche.

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.

The Opportunity

• 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.

Who you are

• You have a Bachelor's or higher degree in Computer Science, Bioinformatics, Computational Biology, or a related field 

• You have 5 plus years' of experience in relevant bioinformatics tools and libraries 

• You have strong proficiency in C++, with knowledge of scientific computing programming languages like Python and/or R

• You have a background in working with large NGS datasets 

• You have experience with parallel computing, optimization, and performance tuning.

• You have experience with deeply understanding and optimizing complex algorithms.

• You have excellent problem-solving skills, attention to detail, and effective communication and teamwork abilities.

Preferred

• You have experience working in a regulated environment (e.g., ISO 13485, CLIA)

• You have proven experience in developing bioinformatics algorithms for NGS data analysis. 

The expected salary range for this position based on the primary location of Santa Clara, CA  is 144,600-268,500.   Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law.  A discretionary annual bonus may be available based on individual and Company performance. 

This position also qualifies for the benefits detailed at the link provided below.

Benefits

Relocation benefits are not available for this posting

Who we are

At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.