Posted:
1/24/2026, 6:18:26 AM
Location(s):
California, United States ⋅ Mississauga, Ontario, Canada ⋅ Ontario, Canada ⋅ Pleasanton, California, United States
Experience Level(s):
Expert or higher ⋅ Senior
Field(s):
Software Engineering
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:
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.
Algorithm Development: Design and implement high-performance algorithms for NGS data analysis, including variant calling, quality control, and data preprocessing.
Optimization: Continuously refine and optimize bioinformatics solutions for handling large-scale genomic datasets with improved efficiency and performance.
Collaboration: Partner with biologists, data scientists, and engineers to meet the unique challenges of NGS diagnostics and research workflows.
Software Integration: Seamlessly incorporate bioinformatics tools into Roche's software ecosystem, ensuring compatibility and robustness.
Quality Assurance: Maintain the integrity of analytical results by crafting rigorous test suites and working alongside QA teams.
Innovation and Leadership: Stay at the forefront of NGS and bioinformatics trends while mentoring junior engineers and driving innovation within the company.
Who You Are:
You hold a Bachelor's or higher degree in Computer Science, Bioinformatics, Computational Biology, or a related field.
You have at least 8-10 years of proven experience in developing high quality software and algorithms for NGS data analysis.
You have strong proficiency in programming languages such as C++ and Python.
You have a track record of proficiency in relevant bioinformatics tools and libraries.
Demonstrated progression in experience with parallel computing, optimization, and performance tuning.
You have strong problem-solving skills and attention to detail.
You have excellent communication and teamwork skills.
Preferred Qualifications:
Experience working in a regulated environment (e.g., FDA, CLIA).
Experience with GPU development and optimization.
The expected salary range for this position is based on the primary location of Pleasanton, CA is $189,200 - $270,300. 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 in this link.
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.
Website: https://www.gene.com/
Headquarter Location: South San Francisco, California, United States
Employee Count: 10001+
Year Founded: 1976
IPO Status: Delisted
Last Funding Type: Venture - Series Unknown
Industries: Biotechnology ⋅ Life Science ⋅ Manufacturing