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We are seeking a talented and highly motivated Bioinformatics Scientist to support the development of Roche Diagnostics Molecular Assays that have a global impact on patient care. This role requires a broad understanding of assay development across diverse technologies, including NGS, Nanopore sequencing, and PCR. The successful candidate will collaborate closely with bioinformaticians, wet lab scientists, and external customers to design, implement, and maintain internal algorithms and tools for clinical diagnostic assay development.
The Opportunity:
Collaborate with multidisciplinary teams of molecular and computational biologists, as well as wet lab scientists, to design, optimize, and troubleshoot advanced high-throughput sequencing assays and workflows for clinical diagnostic applications.
Contribute bioinformatics expertise throughout the assay development lifecycle, including initial sequencing, validation, and production implementation, by developing and maintaining analytical tools and pipelines for processing diagnostic data from tumor, germline, and cell-free DNA samples.
Create, implement, and streamline bioinformatics tools and workflows in partnership with wet lab scientists to enhance assay development efficiency and data quality.
Provide hands-on troubleshooting to ensure data quality, integrity, and accessibility across the diagnostic workflow, while addressing the needs of internal and external stakeholders through scientific and business analyses.
Advocate for best practices in documenting, training, and scaling algorithms, tools, and workflows to ensure reproducibility and scalability.
Clearly communicate project outcomes and team progress across various teams and organizational functions to promote alignment and collaboration.
Who You Are:
You have a PhD or Master’s degree in Bioinformatics, Computational Biology, Statistics, or a related field.
You have 6+ years of industry experience in clinical diagnostics or a related domain.
You have expertise in DNA/RNA sequencing data analysis and interpretation.
You are proficient in programming skills in R and/or Python, with experience working in a distributed Linux environment.
You are proficient in creating clear, insightful visualizations of complex biological data, with strong presentation skills to effectively communicate results to both technical and non-technical audiences.
You have a strong understanding of molecular biology principles and hands-on familiarity with next-generation sequencing laboratory processes. Able to work closely with bench scientists to troubleshoot experimental and workflow issues.
You are skilled in writing and maintaining bioinformatics workflows using workflow management systems such as Snakemake or Nextflow
You have demonstrated the ability to independently develop informatics solutions and contribute to scientific informatics initiatives.
You have a solid understanding of cancer biology and in vitro diagnostics (IVD).
Preferred Qualifications:
Proficiency in C++ or Java is a plus.
Relocation benefits are not available for this posting.
The expected salary range for this position based on the primary location of California is $139,400-$258,800. 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
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.
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