Job description

Requirements

  • Entry level
  • No Education
  • Salary to negotiate
  • Pleasanton

Description

Position Summary:
Roche is the world leader in in-vitro diagnostics (IVD) and tissue-based cancer diagnostics and a front-runner in diabetes management. Roche Sequencing Solutions is seeking a talented Bioinformatics scientist to collaborate with experimentalists on new assay optimization and to build the underlying analysis algorithms to support next-generation targeted sequencing solutions.
Are you an adaptable bioinformatics analyst who can address some of the demands of technology development, and algorithm prototyping? Are you excited about working with a group of scientists and engineers to harness the promises of next-generation sequencing (NGS) technology to enable unprecedented diagnostics? Do you have a strong desire to craft code and interpret key results important for developing innovative and cutting-edge applications using NGS technologies?
Responsibilities Include:
Develop new algorithms and analysis methods, compare and optimize existing approaches to analyze NGS data for leading-edge targeted enrichment and other high throughput sequencing applications.
Analyze and interpret NGS data including extensive data QC, variant call filtering, develop and validate bioinformatics pipelines with real-world samples.
Work closely with reagent / assay development scientists to design studies, develop and automate analysis tools that will aid in optimization of NGS library preparation protocols. Perform statistical meta-analyses of sources of variation affecting assay performance.
Communicate results of bioinformatics analyses to bioinformatics groups, experimental groups, and cross-site collaborators.
Provide technical support and collaboration across functions, such as reagent / assay development, marketing, and global customer support, etc.
Minimum Qualifications:
Master's degree in Bioinformatics, Biostatistics, Computer Science, Computational Biology, or a related discipline and 7 years of relevant experience OR Ph.D. plus 0 - 2 years related experience.
Previous analysis experience with short read NGS data, including commonly used open source tools (e.g. BWA, SAMtools, GATK, VarScan, etc.), variant detection algorithms, variant annotation, and QC metrics.
Knowledge of molecular biology and statistics is required.
Proficiency in Python is required. Familiarity with other high-level scripting languages (e.g. R, Perl) is a plus.
Experience with leading projects in a technical role, including setting goals and timelines is desirable.
Experience with whole exome sequencing and targeted gene panels is desirable.
Strong verbal and written communication skills.

About the company

Roche is a Swiss global health-care company that operates worldwide under two divisions: Pharmaceuticals and Diagnostics. Its holding company, Roche Holding AG, has bearer shares listed on the SIX Swiss Exchange.

The company headquarters are located in Basel and the company has many pharmaceutical and diagnostic sites around the world – including: Tucson, AZ; Pleasanton, CA; Vacaville, California, Oceanside, California, Branchburg, NJ; Indianapolis, Indiana; Florence, South Carolina; and Ponce, Puerto Rico in the US; Welwyn Garden City and Burgess Hill in the UK; Clarecastle in Ireland; Mannheim and Penzberg in Germany; Mississauga and Laval in Canada; Shanghai in China; Mumbai & Hyderabad in India; São Paulo and Rio de Janeiro, Brazil; Segrate, Milan in Italy; Johannesburg in South Africa; Karachi, Islamabad and Lahore in Pakistan. There are 26 manufacturing sites worldwide.

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