Staff Bioinformatics Scientist — Signal Processing Full-time

Staff Bioinformatics Scientist — Signal Processing

What if the work you did every day could impact the lives of people you know? Or all of humanity? At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients. Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible.

Illumina's Primary Analysis team specializes in designing algorithms and developing software to detect genomic data from signals contained within images. Algorithmic challenges in this area include compensating for signal impairments introduced by optical, chemical, and mechanical systems.

Implementation challenges include managing parallel tasks, optimizing memory accesses, and improving the speed and accuracy of genomic base calling. We develop methods to address these challenges by focusing on high reliability, speed, and completeness of results. We are seeking an exceptional individual to join our team in developing analysis solutions for use by researchers and clinicians worldwide.

Responsibilities:

• Design, prototype, and implement signal processing and bioinformatics algorithms
• Analyze data and optimize software at the algorithm, design, and/or source code level
• Collaborate with external teams to ensure a smooth, end-to-end workflow with external organizations
• Develop, debug, and integrate optimized C/C++ software on Linux for multi-threaded applications
• Provide technical leadership and represent the team at project and executive levels

Requirements:

• Experience with signal processing, data analysis, and the application of statistical approaches
• Experience with C++ is preferred, but other languages (e.g., Java or C#) will also be considered (Minimum: intermediate level with understanding of object-oriented design)
• Ability to define the architecture, develop, and debug software applications
• Strong problem-solving skills
• Personal initiative and ability to work effectively as part of a team

• Superior written and verbal communication skills
• Be curious, detail oriented, and analytical, with a proven ability to learn quickly

Desired:

• Experience with communications theory and information theory
• Experience with time-series analysis and interpretation of temporal data
• Experience with Python and Python visualization libraries
• Experience with multi-threaded software, real-time systems, and/or software acceleration
• Familiarity with Agile software development processes (e.g. Scrum)
• Experience with using version control systems such as Git

Education & Experience:

• Master's degree or PhD in bioinformatics, biology, engineering, physical sciences, computer science, mathematics, statistics, or equivalent
• Minimum 6 years of related experience with a Master's degree