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.
2025 Summer Intern - Computational Sciences and Informatics (CSI)
We advance science so that we all have more time with the people we love .
Department Summary
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, 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 Bioinformatics Intern to join our growing team and contribute to the development of high-performance, high-quality NGS bioinformatics algorithms.
This internship position is located in Santa Clara - Fully Remote
The Opportunity
Review existing solution and bioinformatics algorithm
Perform benchmarking of the state of the art tools and provide feedback
Propose improvements and/or develop novel algorithms to outperform current solutions
Build prototype algorithms and softwares to address challenges specific to Roche NGS data
Present methods, findings and results to stakeholders
Program Highlights
Intensive 12-weeks, full-time (40 hours per week) paid internship.
Program start dates are in May/June 2025
A stipend, based on location, will be provided to help alleviate costs associated with the internship.
Ownership of challenging and impactful business-critical projects.
Work with some of the most talented people in the biotechnology industry.
Who You Are
Required Education: Candidates must be enrolled in a PhD program
Required Majors: Bioinformatics, Computational Biology, Computer Science, Statistics, Mathematics or other quantitative field.
Required Skills:
2+ years of experience in developing and designing novel algorithms for NGS data analysis for example read processing, variant calling (SNV, insertions/deletions, CNV, SV, TMB, MSI etc.), variant annotation and analyzing large scale complex genomic datasets.
Experience implementing high-quality and efficient product level code.
2+ years of experience of sequencing (long and/or short read), cancer molecular biology, bioinformatics tools, statistical methods.
Hands-on experience using a workflow management system such as Nextflow or Snakemake, using Docker and cloud computation resource and storage .
Preferred Knowledge, Skills, and Qualifications :
Excellent communication, collaboration, and interpersonal skills.
Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion.
You have one or more first/co-first author publication(s) in a high-impact peer reviewed journals
You have experience with Machine learning / Deep learning (used in NGS context)
You are proficient with programming languages (C++) in a distributed Linux environment
Relocation benefits are not available for this job posting.
The expected salary for this position based on the primary location of California is $50 hour. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. This position also qualifies for paid holiday time off benefits.
#GNE-R&D-Interns-2025
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.
Roche is an equal opportunity employer and strictly prohibits unlawful discrimination based upon an individual’s race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, mental/physical disability, medical condition, marital status, veteran status, or any other characteristic protected by law.
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 .
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