Health Data Scientist

4 weeks ago

Durham, United States Veear Full time
Work Details:
  • Prepare roadmaps, schedules, status reports, plans and recommendations. 1
  • Provide written technical descriptions of implemented algorithms; contribute to the publication of the lab's software and research. 2
  • Work with staff on data retrieval from various data sources. 3
  • Implement improvements to development activities to speed development of applications, databases, or software tools. 4
  • Work with staff on applying, extending and/or developing statistical methods to address problems identified by the staff of relevance to the project. 5
  • Provides technical experience needed to assist in reviewing, updating, analyzing and modifying existing programming systems.
  • Use advanced knowledge in machine learning, statistics, text mining, natural language processing, computational semantics, computer vision, and data science to develop creative solutions to complex real-world problems.
  • Work with staff to develop, test and refine Client programming methods, toolkits, and algorithms.
  • Conceive of and create data processing pipelines that allow for the efficient movement, pre-processing and display of data.
  • Provide technical experience reviewing, analyzing, and modifying existing programming systems.
  • Conceive of and conduct approaches to process, integrate, and analyze geospatial-based exposures data sets and health data sets.
  • Encodes, tests, debugs and installs new programs using various programming languages.
  • Develop scientific applications using R, Shiny and/or Python.
  • Collaborate with staff to develop, test, refine and apply advanced statistical and computational methods.
  • Test and maintain software products to ensure strong functionality and optimization.
  • Develops and schedules data backups, security patches or upgrades, etc.
  • Collaborate with staff to develop database application and tools for supporting bioinformatics and scientific computing research projects.
  • Documents all assignments and creates various reports as needed.
  • Prepare roadmaps, schedules, status reports, plans and recommendations.
  • Provide written technical descriptions of implemented algorithms; contribute to the publication of the lab's software and research.
  • Writes and maintains program documentation.
  • Documents programming problems and resolutions for future reference.
  • Manage and troubleshoot deployments and image builds.
  • Develop new code and refine/troubleshoot existing code.
  • Troubleshoot scripts and programs to ensure successful use of said scripts and programs.
  • Document in-house software for training and reference purposes.
  • Provides assistance with planning, building and maintaining applications to meet an end user's needs.
  • Provide support for development of methods in data science.
  • Work with staff on literature reviews of analytic methods that have been applied across a broad range of scientific fields in order to identify the most useful methods to be applied.
  • Troubleshoots any issues or problems and implements appropriate corrective actions.
  • Develop new code and refine/troubleshoot existing code.
  • Document in-house software for training and reference purposes.
  • Provides guidance and problem resolution for users.
  • Evaluates impact of programming modifications.
  • Refines data and formats final product.
1, 2, 3, 4, 5 represents priority rankings, where 1 is highest priority and 5 is lowest priority of those ranked

Minimum Education
  • Bachelor
Field of Study
  • Biology
  • Computer Science
  • Statistics and Decision Science
Software
  • R
  • Python
  • Linux
  • Shiny
  • HTML
Skills
  • Scientific Data analysis
  • Data visualization
  • Data processing
  • Data integration
  • Machine learning

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