Principal Bioinformatics Scientist - NGS Diagnostic Products
Roche is dedicated to advancing personalized healthcare by creating diagnostics and treatments tailored to individual genetic and disease profiles. As part of this mission, Roche Sequencing Solutions is unifying next-generation sequencing with the goal of making it routine: sample in – result out.
Make a Big Difference
Cancer is becoming more and more common disease every year, with 18.1 million new cases observed worldwide in 2018. At the same time, standard of care therapies are often ineffective, leading to daunting 9.5 million cancer-related deaths a year in 2018. New NGS-based diagnostic products developed by Roche allow to find patients that do not respond to standard of care treatment or are qualified to be treated with alternative drugs due to the unique genetic profile of the tumor.
We are seeking a talented Bioinformatics scientist to collaborate with experimentalists on computational analyses and to build the underlying analysis algorithms and machine learning tools for sequencing data that will fuel the adoption of personalized medicine. The ideal candidate has deep knowledge of algorithm development for next generation sequencing, machine learning, and experience partnering with laboratory development teams to create regulated clinical assays.
Provide bioinformatics expertise to develop sequencing-based diagnostics products
Identify analysis methodologies available in public domain, develop new algorithms and methods to analyze NGS data as needed
Prototype and evaluate new algorithms for analysis of NGS data
Deploy prototype methods into R&D pipeline used for early assay development
Conduct simulation studies to understand limitations of analysis techniques and assay
Design experiments to empirically demonstrate algorithm and assay performance
Conduct data analysis, including statistical analysis, and communicate results to stakeholders
Write specifications for software engineers to implement new methods in production grade software
Provide functional testing data to aid production software development
Use knowledge of industry standards and best practices to contribute to robust bioinformatics development processes (modular, abstract, general and consistent coding, version control, documentation and so on)
Required Skills & Experience:
Master's degree in Bioinformatics, Computational Biology, Molecular Biology, Biostatistics, or a related discipline; PhD in Bioinformatics, Biostatistics, Computational Biology preferred
3 years’ relevant experience in Bioinformatics in a biotech or pharmaceutical environment
Programming in Python (preferred), experience building Python packages
Knowledge of statistics and track record designing new algorithms or statistical methods
Experience in biological data analysis and data visualizations
Working knowledge of molecular genetics and biology
Experience with next generation sequencing data and targeted sequencing
Track record of publishing