Research Data Analyst III - CIPHR

Full Time
Scarborough, ME 04074
Posted
Job description

Research Data Analyst III – CIPHR

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Summary

This position is for applicants interested in joining an analytics team who are working with investigators in the MaineHealth Institute for Research’s Center for Interdisciplinary Population & Health Research (CIPHR), which is contributing to research in the areas of clinical and population health, bio-behavioral cancer research, community engagement and health disparities, pediatrics, emergency medicine, infectious disease, and others. The Research Data Analyst III provides qualitative, quantitative and/or mixed-methods analysis for CIPHR. This Data Analyst III will collect, integrate, clean, analyze and present data in support of the assigned project and/or department. They will use appropriate mixed-methods approaches to research design, such as qualitative (thematic analysis and grounded theory) and/or quantitative (applied statistics, sampling, bivariate, multivariable, and time to event analytic techniques). They participate in data management, monitoring and reporting. After onboarding and coaching, the individual in this role must be able to work independently and collaboratively.

  • A flexible hybrid work schedule is available with this position
  • FMI contact Andrew Armitage, Andrew.Armitage@mainehealth.org
  • Note that the MaineHealth application, a cover letter, and a resume/CV are all required for consideration for this position.

Minimum Knowledge, Skills, and Abilities Required

  • Education: Master’s degree required.
  • License/Certifications: N/A
  • Experience: 5-7 years’ experience analyzing data required. 3-5 years in healthcare preferred. Experience in working with large clinical and/or administrative claims databases, including both for management and analysis is desirable.
  • Advanced knowledge of and experience with spreadsheet, relational database, graphics and word processing software is required. Advanced skills with at least one statistical software package is required, e.g SAS, R, STATA, SPSS. Proficiency with multiple statistical software packages is preferred.
  • Capable of searching and critically appraising medical literature.
  • Ability to work and interact with multiple departments.
  • Ability to manage and lead multiple projects.
  • Effective verbal and written communication skills. Ability to convey complex concepts to a diverse audience.
  • Strong analytical and problem-solving skills are essential attributes for this position.
  • Ability to pay attention to detail.
  • Teaching and supervisory skills are highly desirable.

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