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Senior Bioinformatics Scientist, Algorithm Development

Roche Sequencing Solutions (RSS), a business within Roche Diagnostics, is focused on developing a disruptive Next-Generation Sequencing (NGS) platform along with a portfolio of reagents, assays and informatics solutions for multiple disease areas. 

Roche Sequencing is seeking a talented Bioinformatics scientist to collaborate with experimentalists on computational analyses and to build the underlying analysis algorithms and machine learning tools for next-generation sequencing (NGS) IVDs that will fuel the adoption of personalized medicine. The ideal candidate will have a deep knowledge of algorithm development and statistical analysis for next generation sequencing, and experience collaborating with laboratory development teams to create regulated clinical assays. 


  • Develop and improve algorithms, statistical models and machine learning techniques for NGS-based diagnostics products. 
  • Design and improve statistical models for genomic variant detection and other applications
  • Design, implement and test algorithms for secondary analysis and genomic signatures
  • Work with experimentalists to develop analysis tools that will aid in optimization of NGS procedures. 
  • Document analysis procedures and results; and present findings in meetings. 
  • Work with an interdisciplinary team to prototype and implement functional and design specifications for IVDs. 
  • Plan, test, and integrate new system components and prototype new functionality. 
  • Optimize and refactor scientific code utilizing Java/Python technology profile. 

Minimum Qualifications: 

  • Master's degree (in biostatistics, statistics, bioinformatics, computer science, computational biology, or a related discipline) and 7 years of relevant experience OR PhD. and 4 years of related experience. 
  • Demonstrated experience working at the confluence of science and engineering to develop genomic algorithms
  • Willingness to work in a dynamic, fast-paced environment with an emphasis on product development.
  • Experience applying statistical methods for solving problems in genomics and related fields
  • Familiar with machine learning techniques.
  • Strong track-record of development and testing using Python, Linux, and Java in a distributed computing environment.
  • Strong communication skills and ability to work across multiple businesses, scientific, and technical teams. 
  • Excellent problem-solving skills. Must be able to think independently, work collaboratively and contribute to an active intellectual environment.
  • Oncology related experiences are highly desirable.

Roche is an equal opportunity employer.

Research & Development, Research & Development > Research Informatics

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