Veracyte

👥 501-1000💰 $550,000,000 Post-IPO Equity about 4 years agoBiotechnologyHealth CareHealth Diagnostics📈 Public Company
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Veracyte is a publicly traded global genomic diagnostics company revolutionizing cancer care. We develop and deliver a growing menu of genomic tests that provide precise answers to critical clinical questions, informing diagnosis and treatment decisions throughout the patient journey. Our tests significantly impact patient outcomes by enabling faster, more accurate diagnoses and minimizing the need for risky and costly procedures. We're making a difference in the lives of cancer patients worldwide. Our technology utilizes cutting-edge genomic science and advanced technology platforms. Our tech stack includes Amazon Web Services (AWS), Terraform, CloudFormation, or AWS CDK, container orchestration platforms like EKS and ECS, and various CI/CD tools. We foster a collaborative engineering culture that emphasizes automation, security, and cost optimization. We're dedicated to continuously improving our cloud infrastructure and building self-service platforms that empower our development teams. Veracyte is committed to fostering an inclusive environment where innovation, collaboration, and compassion drive our work. We offer competitive compensation and benefits, and actively encourage remote work options across several roles. We've been recognized as a 'Bay Area Top Workplace' and 'Best Places to Work in San Diego,' showcasing our commitment to employee well-being. With significant funding and a robust market position, Veracyte is experiencing strong growth and continuously seeking talented individuals to join our team and contribute to our mission of improving patient care globally.

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📍 Israel

🔍 Genomic Diagnostics

  • PhD or MSc in Bioinformatics, Computer Science, Engineering, Biochemistry or similar field
  • Minimum of 2+ years of relevant work experience. Preferably in high-throughput genome sequencing analysis
  • Deep understanding of genomics and DNA sequencing data and its analysis (mapping, variant calling, etc.)
  • Proficiency with standard NGS bioinformatics tools (e.g. GATK, BOWTIE, BWA, etc.)
  • Understand the basics of molecular biology as it pertains to human disease, primarily in cancer
  • Implementation of bioinformatics analyses and application workflows
  • Strong algorithm development skills required
  • Good Python, bash and scripting fundamentals, including file parsing and data visualization
  • Additional experience with lower level languages like C++ and C - a plus
  • Ability to design, create and query relational databases - a plus
  • Machine learning in NGS applications - a plus
  • Formal software development experience - a plus
  • Experience with cloud computing technologies (AWS preferred) - a plus
  • Experience with software development and data management in a regulated environment - a plus
  • Highly organized and detail-oriented, with the ability to create clear and concise technical documentation
  • Excellent verbal and written communication skills and the desire to work in a dynamic and collaborative environment
  • Ability to work independently and remotely while maintaining a strong teamwork ethics
  • Independent self-management and organizational skills
  • Able to manage workload and set personal and project priorities
  • Entrepreneurial, driven to create and to be an impactful team player
  • Relies on data more than gut instinct
  • Puts the team harmony over their own self-interest, but data above all
  • Strong attention to detail demonstrating accuracy in tracking and reporting data
  • Flexibility to adjust quickly and effectively to frequent change and altered priorities
  • Disciplined in following process consistently
  • Eagerness to acquire new skills in relevant technical areas
  • Ability to evaluate and apply new technologies in a short time
  • Analyze next-generation high-throughput DNA sequencing data ranging from single research experiments to very large data sets
  • Develop tools and automated analysis pipelines for bioinformatics analyses, diagnostic tests, including variant detection and quality control
  • Design new algorithms, methods and tools for DNA sequencing data analysis and propose improvements to the existing research infrastructure
  • Produce high quality written documentation including study plans and reports
  • Produce correct conclusions based on rigorous mathematical analysis and principles of statistics and probability
  • Collaborate effectively with R&D, production, and clinical teams to build efficient workflows
  • Be the "go to" person for bioinformatics and related issues
  • Ensure internal processes and metrics are aligned to create the highest product quality and competitive advantage
  • Develop Python software infrastructure to support algorithm testing and simulation studies
  • Produce clear, concise and correct technical documentation including research reports and algorithm specifications

AWSPythonSoftware DevelopmentSQLBashCloud ComputingData AnalysisMachine LearningC++AlgorithmsRESTful APIsDocumentationData visualizationScriptingData management

Posted 12 days ago
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