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Senior Bioinformatics Engineer

Posted about 1 month agoViewed

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💎 Seniority level: Senior

📍 Location: United States

💸 Salary: 117400.0 - 146800.0 USD per year

🔍 Industry: Software Development

🏢 Company: Natera👥 1001-5000💰 $250,000,000 Post-IPO Equity over 1 year ago🫂 Last layoff about 2 years agoWomen'sBiotechnologyMedicalGeneticsHealth Diagnostics

🗣️ Languages: English

🪄 Skills: AWSDockerPythonSoftware DevelopmentBashGitMachine LearningNumpySoftware ArchitectureAlgorithmsData StructuresPandasCI/CDLinuxSoftware EngineeringData management

Requirements:
  • MS/PhD in Computer Science, Computer Engineering, Bioinformatics, or related field with a strong focus on cancer epi/genomics
  • Highly experienced in software engineering, algorithm development, and sequencing data analysis, proven through development of production-level software
  • Deep understanding and extensive hands-on experience with best practices in software development, including design principles, object-oriented design patterns, testing, deployment, version control, code review, and documentation.
  • Extensive experience in deployment using containerization technologies, such as Docker
  • Highly experienced in distributed computing on cloud, AWS is preferred
  • Experienced in code profiling to identify opportunities for code optimization in terms of runtime and memory usage
  • Deep understanding of sequencing data
  • Expert in coding Python and using its scientific library stack including Numpy and Pandas
  • Expert in using Linux command-line tools and writing shell scripts
  • Ability to work independently while managing multiple objectives and timelines
Responsibilities:
  • Design and develop production-level code – both writing new code and refactoring existing code – with a strong emphasis on software architecture, optimization, scalability, robustness, maintainability, and thorough documentation, adhering to best software development practices
  • Design and implement comprehensive tests across the entire codebase and pipeline, including unit tests, integration tests, and end-to-end tests
  • Facilitate training and evaluation of Machine Learning models on large datasets using distributed computing on AWS
  • Ability to collaborate between the R&D team and Engineering team to develop and to troubleshoot production software
  • Participate in Code and Design Reviews
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Posted 4 months ago
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