Principal Bioinformatics Scientist II

Job description

·  Job facts

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 10 years of relevant experience OR Ph.D. and 7 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.

·  Who we are

At Roche, 94,000 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.