Diabetes Youth Families

Senior Staff Algorithm Research Engineer

Diabetes Youth Families

full-time

Posted on:

Origin:  • 🇺🇸 United States • California, Massachusetts

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Salary

💰 $142,950 - $214,425 per year

Job Level

Senior

Tech Stack

AWSAzureCloudCognosGoogle Cloud PlatformMongoDBMS SQL ServerOraclePythonSparkSQLTableau

About the role

  • Work with IT and cross functional teams to identify data sources, design data ingestion, clean up, and pre-processing scripts as needed.
  • Leverage cloud computing technologies for automated machine learning and analytics pipelines, such as Azure, AWS, GCP, Databricks, etc.
  • Explore data patterns using existing data science tools and self-created programs.
  • Perform statistical analysis, predictive modeling, and generate automated reporting as required.
  • Develop and implement algorithms for insulin pump therapy optimization, and next generation artificial pancreas insulin control
  • Clearly communicate findings to a broad audience, in relation to business objectives.
  • Mentor more junior engineers/data scientists.
  • Performs other duties as required.

Requirements

  • At least 8 years of work experience in data science or machine learning, and a Bachelors degree in Mathematics, Computer Science, Electrical and Computer Engineering, or a closely related field is preferred.
  • At least 4 years of work experience in data science or machine learning, and a Master’s degree or Doctorate in Mathematics, Computer Science, Electrical and Computer Engineering, or a closely related field is required.
  • Experiences in medical device or healthcare industries is desirable.
  • Experience in Python, Spark
  • Additional experience in more analytic software tools, such as R, Matlab, is a plus
  • Demonstrated proficiency in SQL and one or more relational databases, such as Oracle, Teradata, Microsoft SQL Server, etc
  • Knowledge of diabetes pathophysiology, insulin signaling, and/or human physiology
  • Knowledge in non-relational databases (MongoDB) is a plus
  • Experience in Business Intelligence tools, such as Spotfire, Tableau, Cognos.
  • Demonstrated knowledge of software engineering principles and practices.
  • Ability to work independently without detailed guidance, while maintaining effective communications with leaders and stakeholders.
  • Ability to communicate effectively and document objectives and procedures.