Python Developer

Posted on Aug 02, 2021


Boston, MA


We are currently seeking a Python Developer who will assist in the design and implementation of a real-time data-driven analytics system and additionally support activities around a retrospective clinical data warehouse system.

The role will involve interfacing with the internal analytics team as well as customers to continually determine product requirements and subsequently to perform implementation, QA testing, and integration of the product into a hospital setting.Responsibilities:Produce, test, and document production ready code for a clinical environment.Implement and optimize novel algorithmic techniques into a real-time analytics system based on requirements from the Etiometry research teamWork with clinical time series data and its associated deficiencies; missing data, inconsistent frequency, asynchronous data, varying data labelsPackage, deploy, and support applications in a clinical settingWork with distributed computation processesInterface with Etiometry's data warehouse software to test and validate system performance on clinical dataBasic Qualifications:BS in computer science, systems engineering, or a similar technical field with relevant work experience4+ years experience working with Python as a primary development languageA deep understanding of the design and implementation of real-time systems written in Python.Experience with Python packaging and distribution proceduresExperience with distributed computation systemsExperience working with large sets time series dataBasic SQL database experienceExperience with version control software, preferably GitStrong communication and organization skillsProven ability to contribute to emerging or cross-disciplinary fieldsAbility to work independently and also with others to accomplish specific research objectivesDesired Qualifications:Experience developing and deploying Cython based applicationsC/C++ development coupled with Python integrationSQL and NoSQL database experienceWorking knowledge of RedisExperience with job queue libraries, such as celery or RQExperience working with clinical data

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