Principal Bioinformatics Scientist I at Roche

Position summary

• As an experienced bioinformatician at the level of Principal Bioinformatics Scientist I in the Computational Science and Informatics (CSI) Chapter Area of Roche Diagnostics Solutions, you will provide support for product research and development, as well as the marketing, sales and on-market product support teams. You will collaborate and innovate with bioinformatics scientists, software engineers and  molecular biologists to build products that will impact patient care for many years to come. You will collaborate on developing novel algorithms and bespoke software for processing and delivering insights from Next Generation Sequencing (NGS) and other omics data, taking the lead on projects as required. As part of this, you will perform R&D on the application of next-generation NoSQL databases in biomedical knowledge representation and discovery.

Responsibilities

• Partner closely with R&D teams to provide bioinformatics expertise including experimental design, data analysis and visualization.
• Propose and build novel analysis methods or algorithms and bespoke pipelines as needed.
• Collaborate broadly to drive innovation and promote cohesive teamwork internally and externally.
• Serve as a bioinformatics subject matter expert on project teams.
• Assist on-market support teams in training and with handling customer enquiries as needed. 
• Ensure adherence to  best practices for coding, version control, pipeline development, documentation and reproducible research.
• Lead or participate in bioinformatics tools development, data analysis and insights generation.
• Present technical reports and deliver presentations to diverse audiences, including project teams, other departments, collaborators, and customers.

Requirements

• Master's degree in Bioinformatics, Computer Science, or Statistics, or other quantitative field with 7+ years experience; or PhD with 4+ years of experience. (Advanced degree highly preferred).
• Excellent organizational, interpersonal and communication skills, and able to work in a cross-functional team environment, leading and/or influencing when appropriate. 
• Able to plan, prioritise and work independently with minimal supervision, using discretion and independent judgment within broadly defined practices and policies.
• In-depth working experience with NGS data analysis e.g. WGS, exome, RNAseq
• Experience developing and applying Bioinformatics workflows, methods and/or systems.
• Demonstrable proficiency in coding and associated code version control in a language such as Python, JAVA, R, C++, etc. Knowledge of software standards and coding best practices is a plus.
• Hands-on experience using a workflow management system, e.g. Snakemake, Nextflow in a Unix/Linux high performance computing environment.
• Excellent written and verbal English communication and scientific presentation skills