Sr. Bioinformatics Scientist at Veracyte

Job description

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. Lead the design and development of data specification standards and data science business processes Collaborate effectively with R&D, production, and clinical teams to build pipelines for high-throughput sequencing data Ensure internal processes and metrics are aligned to create the highest product quality and competitive advantage Produce clear, concise and correct technical documentation including research reports and algorithm specifications Generating ideas to improve existing technology and drive future technology Who You Are: Experience and Qualifications Master’s degree / PhD or Master’s degree with 3 years of relevant experience in engineering, computer science, bioinformatics, statistics, or similar, with a strong foundation in probability theory and/or statistics. Knowledge of bioinformatics tools, clinical diagnostics workflows or genetic processes Expertise in scientific methods, processes, algorithms and systems for knowledge and insights extraction from data Extensive knowledge in the domains of machine learning, signal processing and related quantitative techniques and theory Proficient in Python, bash and scripting fundamentals, including file parsing and data visualization Expe