Research Engineer 2

Oregon Health & Science UniversityPortland, OR

About The Position

The Department of Psychiatry has an opening for an energetic and highly motivated Research Engineer 2 to join a team conducting research related to the development, dissemination, and evaluation of information technology and outcomes research in the health care field. The research team is focused on improving health care practice and outcomes through use of informatics tools and data analytics. This is a full stack role, managing applications and analytics systems that meet the needs of clinical and data science researchers at OHSU. This involves working with researchers, implementing analytics platforms and algorithms, creating and administering informatics research databases, developing web-based applications used for research, designing and improving existing Health Information Technology and data interoperability tools and supporting existing applications. This position develops, deploys, supports, and integrates resources and services to aid research. Under minimal supervision, the incumbent will coordinate, maintain and troubleshoot complex and critical research engineering design functionality, and will apply engineering design and software releases while maintaining security, including both internally developed and/or supplied engineering designs within the appropriate specified requirements. The incumbent will be responsible for working with the clinical research and data science team to design testing schedules and materials/program testing, and coordinating with researchers, senior research engineers, and technical/data science experts to balance research priorities and assess progress towards goals. The incumbent will work with the data science and clinical research teams to create and maintain data analysis and visualization tools using Microsoft Excel and other programming languages and will develop and maintain relational database while tracking performance metrics, preparing detailed reports of trends, and using advanced data science and informatics techniques such as time series regression analysis, longitudinal modeling, and risk assessment analyses. The incumbent will maintain compliance documentation in support of internal and federal quality standards, and will develop and maintain standard operating procedures and training records for all clinical and informatics-related study processes, including maintenance of confidentiality and compliance with regulatory guidance related to protected health information. The ideal candidate should be comfortable working in a team, troubleshooting issues, and have good verbal and written communication skills.

Requirements

  • Bachelor’s degree in scientific field
  • At least 3 years of relevant experience
  • Expertise in and fluency in data management, data analysis, and data visualization as a test engineer
  • Experience creating and maintaining data tools using Igor Pro and MySQL relational database
  • Experience with Data analysis and quality and process improvement using JMP, Minitab, LabView and Microsoft excel
  • Experience with audit compliance and quality assurance
  • Effectiveness in organizing tasks and setting priorities
  • Multi-tasking
  • Working efficiently with a team
  • Ability to be adaptable, creative, and a quick learner
  • Good verbal and written communication skills

Responsibilities

  • Manage applications and analytics systems that meet the needs of clinical and data science researchers.
  • Work with researchers to implement analytics platforms and algorithms.
  • Create and administer informatics research databases.
  • Develop web-based applications used for research.
  • Design and improve existing Health Information Technology and data interoperability tools.
  • Support existing applications.
  • Develop, deploy, support, and integrate resources and services to aid research.
  • Coordinate, maintain and troubleshoot complex and critical research engineering design functionality.
  • Apply engineering design and software releases while maintaining security.
  • Design testing schedules and materials/program testing.
  • Coordinate with researchers, senior research engineers, and technical/data science experts to balance research priorities and assess progress towards goals.
  • Create and maintain data analysis and visualization tools using Microsoft Excel and other programming languages.
  • Develop and maintain relational database while tracking performance metrics.
  • Prepare detailed reports of trends.
  • Use advanced data science and informatics techniques such as time series regression analysis, longitudinal modeling, and risk assessment analyses.
  • Maintain compliance documentation in support of internal and federal quality standards.
  • Develop and maintain standard operating procedures and training records for all clinical and informatics-related study processes.
  • Maintain confidentiality and compliance with regulatory guidance related to protected health information.
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