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Research Data Analyst

Loyola University Chicago
Chicago, IL, US
Full-time

Duties and Responsibilities

The Urban Malaria Project is dedicated to comprehending the burden and determinants of malaria transmission in urban areas within countries where malaria is endemic.

Our ultimate objective is to leverage this understanding to contribute valuable insights to national malaria strategic planning.

The Chicago Team at Loyola University seeks a Research Data Analyst to support development of analytical pipelines and products for our research projects.

The ideal candidate will support our Postdoctoral Research Associates and Principal Investigator in data quality assessment, data cleaning and analysis.

Responsibilities

  • Collates, cleans, and analyzes data to support development of manuscripts, and oversight of field work.
  • Conducts quality assurance of existing analysis and identifies areas for further investigations.
  • Develop new analytical techniques to improve existing methods and / or research techniques.
  • Conducts literature reviews to facilitate manuscript development.
  • Develops systems for improved data management and extraction of geospatial data.

Minimum Education and / or Work Experience Experience : Master’s degree or doctorate in related field; 1-3 years’ experience in advanced quantitative data analysis required or a combination of Education and work experience.

Qualifications Minimum Qualifications

  • Solid illustration skills or interest in learning.
  • Ability to communicate technical results in a non-technical manner to reach a broader audience.
  • Excellent written and verbal communication skills
  • Experience working in a highly collaborative, cross-functional environment.
  • Positive attitude and cheerful disposition.
  • Proactive and capable of working independently.
  • Quick learner with the ability to acquire new skills efficiently.

Certificates / Credentials / Licenses Bachelor’s or master’s degree in Epidemiology, Biostatistics, Statistics, Geography, or related disciplines.

Computer Skills Basic troubleshooting skills, use of web browsers and internet, intermediate Microsoft Office knowledge, file maintenance and organization, email etiquette, digital safety and security.

Strong scripting skills in R or Python. Supervisory Responsibilities No Required operation of university owned vehicles No Does this position require direct animal or patient contact?

No Physical Demands None Working Conditions None

30+ days ago
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