About the Job

The Senior Bioinformatics Scientist will work as part of a new product team, focused on improving blood-based cancer diagnostic capabilities in areas such as cancer detection, minimum residual disease, and other related applications. This team is comprised of talent from across the Roche ecosystem, including Roche Diagnostics, Roche Pharma and Foundation Medicine, operating as a single unit.

The Senior Bioinformatics Scientist is on the Computational Biology team and provides bioinformatics, data science, statistical expertise, and leadership to enrich the analytical capabilities of existing products, as well as to design and build lab protocols and computational analyses for new products.

Key Responsibilities

• Work within an interdisciplinary team of computational biologists, data scientists, molecular biologists, software engineers, and scientific leaders focused on developing diagnostic products using massively parallel sequencing of DNA or RNA from liquid biopsy samples.
• Lead development of algorithms and new computational methods with a focus on cancer detection, response monitoring, detection of minimal residual disease, and related applications.
• Enhance and optimize existing methods, improving assay capabilities and technical robustness.
• Build methods and tools to analyze large genomic datasets with machine learning techniques on cloud computing platforms.
• Perform or oversee collaborative software development and validation efforts.
• Process, analyze, and interpret high volumes of data for the development and validation of regulated diagnostic products. 
• Present scientific and technical data to colleagues in a clear and cohesive manner.
• Work independently and prepare timetables, deliverables, and project schedules.
• Represent the computational biology group in cross-functional projects.
• Mentor junior colleagues and collaborate with project teams.
• Other duties as assigned.

Qualifications

Basic Qualifications

• Master's Degree in Bioinformatics, Computational Biology, Data Science, Computer Science, or a related field.
• 3+ years working in NGS based diagnostics or genomics research.
• Academic or professional study/work with molecular biology and/or genomics.
• Familiar with one or more of the following programming and scripting languages: Python (preferred), R, or Java.

Preferred Qualifications

• PhD in Bioinformatics, Computational Biology, Data Science, Computer Science, or a related field
• Strong understanding of molecular biology and genomics
• Experience:
• developing algorithms for analysis of biological data
• with next-generation (NGS) sequencing data, especially DNA methylation sequencing
• with data science best practices and tools, including pandas, jupyter, AWS cloud computing, and machine learning techniques
• interfacing with bench scientists to aid in experimental design and bioinformatics data analysis.
• leading collaborative projects
• developing regulated diagnostic products
• Excellent teamwork, time management, and organizational skills
• Demonstrated ability to work independently in a multidisciplinary, fast-paced, dynamic, and results oriented environment present data to a multidisciplinary audience in a clear and cohesive manner
• Understanding of HIPAA and the importance of patient data privacy
• Commitment to reflect FMI's values: passion, patients, innovation, and collaboration

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