The University of Chicago Hiring for Research Data Analyst – JR28118-3800 at Chicago, Illinois Full Time

This job was posted by https://illinoisjoblink.illinois.gov : For more
information, please see:
https://illinoisjoblink.illinois.gov/jobs/12311914 Department

BSD IPP – McGuinn Lab

About the Department

The newly created Institute for Population and Precision Health (IPPH),
located in the Biological Sciences Division, will integrate a wide
spectrum of factors such as human health behaviors, environmental
factors, social and economic factors, policies and genetic determinants
of health, into studies focused on the treatment and prevention of
disease, as well as the maintenance of wellness. Leveraging and
integrating the University of Chicago’s considerable institutional
strength in population science with research spanning diverse fields
such as genetic medicine, cancer epidemiology, microbiome, and
epigenomics, the Institute will have the common goal of improving human
health outcomes. Another major goal of the Institute will be to develop
a new multidisciplinary training program to equip researchers with
emerging tools and methods to conduct precision health research within a
population health framework. Our faculty lead research projects in
biostatistics, epidemiology and health services research and participate
in interdisciplinary teams with faculty in other departments to address
complex problems in health and healthcare, in our communities and around
the globe. Please explore our programs further at
https://ipph.uchicago.edu/.

Job Summary

The Institute for Population and Precision Health at the University of
Chicago seeks a highly motivated Research Data Analyst to work on
projects related to social and environmental factors affecting mental
health and maternal and child health outcomes across the life course.
The role involves collecting, organizing, and maintaining large spatial
and non-spatial datasets from various sources, ensuring data integrity
and security. The Research Data Analyst will assist in developing
research protocols, contribute to literature reviews, and help write
manuscripts, grants, and reports. The position offers the opportunity to
work directly with epidemiologists, geographers, clinicians, and data
scientists at the University of Chicago and other leading universities
on several exciting epidemiologic and digital health studies.

Responsibilities

• Works with partners and members of the research team to propose and
  implement analytical approaches to solve specific epidemiologic,
  geospatial, and digital health research questions.
• Collect, organize, and maintain large spatial and non-spatial
  datasets from various internal and external sources.
• Documents source code and data management and analysis procedures.
• Prepares tables and figures for manuscripts, abstracts, and other
  scientific publications.
• Clean, manage, and analyze large datasets using statistical
  software.
• Assist in the development of research protocols and other
  study-related documentation.
• Collaborate with the research team to interpret results and
  contribute to the preparation of manuscripts, grant proposals, and
  conference presentations.
• Ensure data integrity and security throughout the research process,
  adhering to best practices in data management.
• Assist with literature reviews and help to write manuscripts,
  grants, and reports.
• Stay updated on new data analysis methods and tools relevant to the
  research field.
• Assists in analyzing data for the purpose of extracting applicable
  information. Performs research projects that provide analysis for a
  number of programs and initiatives.
• May assist staff or faculty members with data manipulation,
  statistical applications, programming, analysis and modeling on a
  scheduled or ad-hoc basis.
• Collects, organizes, and may analyze information from the
  University’s various internal data syst ms as well as from external
  sources.
• Maintains and analyzes statistical models using general knowledge of
  best practices in machine learning and statistical inference.
  Performs maintenance on large and complex research and
  administrative datasets. Responds to requests and engages other IT
  resources as needed.
• Performs other related work as needed.

Minimum Qualifications

Education:

Minimum requirements include a college or university degree in related
field.

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Work Experience:

Minimum requirements include knowledge and skills developed through
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Certifications:

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Preferred Qualifications

Education:

• Master’s degree in public health, geography, biostatistics,
  epidemiology, or related field.

Preferred Competencies

Previous experience in research coordination and data analysis is
strongly preferred.

Strong organizational skills with the ability to manage multiple
projects simultaneously.

Excellent communication skills, both written and verbal, with the
ability to present complex data clearly.

Ability to work both independently a