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Software Engineer at Nodality Inc. (South San Francisco, CA)

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Nodality is seeking an individual who is motivated to apply his/her programming skills to solving problems at the intersection of biology and personalized medicine. You will join a multi-disciplinary team dedicated to making a difference in the lives of patients. Nodality offers a rich environment in which you will make significant contributions to designing and building state of the art web applications for laboratory and analysis workflows used by internal and external users. You will have the opportunity to work with, and learn from world-class experts in a wide range of disciplines including, software engineering, biology, computational sciences and translational medicine. Nodality’s powerful software platform plays a vital role at every step of this process by allowing scientists to design sophisticated experiments, conduct them in a robust high throughput manner, track and manage data, build predictive algorithms, and allow rich visual exploration of the data. The platform is a combination of Python and Web technologies integrating several components including a rich user interface, database, and backend computational engine to support a variety of workflows. We offer excellent career growth opportunities, and fully support promotion from within.


Responsibilities:



  • Work closely with other software engineers, research scientists, lab staff, and computational scientists to identify and implement key automation and visualization tools.

  • Design, develop, integrate, and deploy related web application components including front end development, server-side development, and system integration.  

  • Provide web application support for testing, debugging and applying incremental improvements in working laboratory environments, both in research and regulated environments.

  • Provide training, and troubleshooting for applications deployed to a diverse user base.

  • Comply with and help evolve process methodologies including source control, unit testing and coding standards.

  • Make recommendations for process improvements and new technologies that will make a positive impact on the laboratory and analysis workflow.  

  • Collaborate with remote development teams.

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