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Data Engineer - Scientific Data PipelineSan Francisco, California, United States

Mammoth Biosciences

Data Engineer - Scientific Data Pipeline

San Francisco | California | United States

DESCRIPTION Mammoth is the CRISPR-based diagnostics company leading the charge to change the way disease diagnostics are done.
Our mission is to create the platform that will democratize diagnostics, allowing everyone on earth to manage and make informed choices about the health of themselves and their families quickly, affordably, and easily.

Mammoth Values:
  • Communication and transparency
  • Passion for team and mission
  • Speed
  • Rigor
  • Have fun and love coming to work!
You will be central to building the foundation of Mammoth's experimental design and data analysis systems for CRISPR-based diagnostics.
  • Analytically, your expertise encompasses cloud-based database management and infrastructure as well as an interest in developing front-end web applications, all with forward-looking test-driven development.
  • You are also good at: Deploying well-architected workflows for scientific instruments and genomics in collaboration with our bioinformatics team, working with varying data formats from a variety of machines used in molecular biology laboratories.
  • Personally, you are highly organized and skilled at prioritizing time, agendas, and projects to accomplish goals. You are driven, motivated and a motivator, celebrate diversity, and a self-starter with unquestionable integrity.
  • You want to be good at: ?? - We want to help you get there!
  • You want to love coming to work - because you love the mission, the people, and because you want to make an impact on society by helping us change healthcare.
You will be responsible for:
  • Writing tools that unify diverse sources of experimental laboratory data into queryable data structures - complete with robust testing and deployment frameworks
  • Designing and building a cloud-based backend system for managing internal data and building data pipelines from lab equipment
  • Building internal web-based experiment planning and genomics tools to help our research and development teams
  • Deploying systems in a robust and scale-appropriate manner
  • Maintaining and reporting business analytics and presenting results to team leaders
REQUIREMENTS
  • At least two years' experience deploying database-driven applications in the AWS ecosystem in combination with Django/Flask or other web framework frontends
  • At least 3 years' experience programming in Python
  • Experience with test-driven development and continuous integration/continuous deployment systems
  • Exceptional communication, presentation, data analysis, and interpretation skills
  • Highly motivated and detail-oriented individual with the ability to think creatively towards efficient problem solving
Nice-to-haves
  • Experience working with genomics data
  • History of working with lab-based molecular biology researchers
  • Specific experience with serverless application development using AWS Lambda
  • Experience deploying containerized solutions/microservices
  • AWS Solutions Architect, AWS Developer certifications or equivalent experience

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