Bioinformatics Scientist

At Veracyte, we offer exciting career opportunities for those interested in joining a pioneering team that is committed to transforming cancer care for patients across the globe. Working at Veracyte enables our employees to not only make a meaningful impact on the lives of patients, but to also learn and grow within a purpose driven environment. This is what we call the Veracyte way – it’s about how we work together, guided by our values, to give clinicians the insights they need to help patients make life-changing decisions. 

Our Values:

• We Seek A Better Way: We pursue bold ideas, embrace complexity, and keep pushing forward.
• We Make It Happen: We act with urgency, deliver with excellence, and always find a way. 
• We Are Stronger Together: We engage with empathy, align around what's best for Veracyte, and celebrate as one team. 
• We Care Deeply: We show up with integrity, kindness, and respect for one another. 

The Position:

We are looking for a Senior Bioinformatics Scientist, experienced in WGS data analysis and with a strong interest in genomics algorithm development. The successful candidate will provide support for analysis of large and complex data sets related to cancer and will bring specific domain knowledge and experience to empower research and development of our tools and products.  In collaboration with R&D and production team members, the Senior Scientist candidate will engineer high-quality tools for genomic sequence data analysis to develop new products or improve existing offerings, all while adhering to Veracyte’s state of the art software engineering methodologies. The successful candidate will be an essential team player in the effort for significant optimization of our growing genomic data analytic platform. This entails working cross-functionally with data scientists, clinical analysts, software engineers, and business analysts to ensure our genomic data becomes a powerful asset and value growth driver. Specifically, the candidate will participate in the design and prototyping of processing pipelines and algorithms for data analysis to improve clinical performance and optimize critical systems. The ideal candidate possesses the ability to see the big picture, understand user needs and requirements, and identify the opportunities for applying solutions from bioinformatics, algorithms, and data science domains.     Responsibilities 

• Analyze next-generation sequencing data ranging from single research experiments to very large data sets reaching correct conclusions based on rigorous mathematical analysis and principles of statistics and probability.
• Research and develop novel deep & machine learning architectures, statistical algorithms and mathematical models for application in genomics within a Python-based infrastructure.