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Research Project Coordinator

Job in Omaha, Douglas County, Nebraska, 68197, USA
Listing for: University Of Nebraska Medical Center
Full Time, Part Time position
Listed on 2026-10-29
Job specializations:
  • Research/Development
    Data Scientist, Clinical Research, Research Scientist, Public Health
  • Healthcare
    Data Scientist, Clinical Research, Public Health
Salary/Wage Range or Industry Benchmark: 65000 - 95000 USD Yearly USD 65000.00 95000.00 YEAR
Job Description & How to Apply Below

UNMC is an Equal Employment Opportunity Employer, including an equal opportunity employer of protected veterans and individuals with disabilities.

Location

Omaha, NE

Department Business Unit

Business Unit College of Public Health

Reg-Temp

Full-Time Regular

Work Schedule

Monday - Friday, 8:00AM - 5:00PM;
Flexible hours

Remote/Telecommuting

Hybrid (part-time working on site, part-time working off-site)

Position Summary

The position will work with principal investigators to submit and maintain the research protocol to IRB , conduct data management of large-scale longitudinal and population-based data, coordinate the efforts with internal and external partners, perform data analysis and contribute to the manuscript writing.

Initial application review will begin on the date provided in the field above. Applications received prior to this review date will be considered. Applications received after the review date may be considered.

Required and

Preferred Qualifications Required Education

If any degree major/training is required, please specify the type. (

NOTE:

Concentration and minors are not equivalent to a major)

Public Health, Epidemiology, Data Sciences or related field

(Will consider six years related education and/or experience combined of which two years must include related post high school education)

Required Experience

Required Experience 2 years

If any experience is required, please specify what kind of experience:

Project management experience to include data collection or data management

(Will consider six years related education and/or experience combined of which two years must include related post high school education)

Required License

No

NA

Required Computer Applications

Microsoft Excel, Microsoft Word, Microsoft PowerPoint, Microsoft Outlook

Required Other Computer Applications

NA

Required Additional Knowledge,

Skills and Abilities

Strong writing skills for summarizing findings from literature reviews, coding survey variables, and analyzing longitudinal data using SAS , R, or Mplus.

Open to receiving training in R or Mplus using existing software packages.

Ability to work independently; effective oral and written communication skills; effective interpersonal, organizing, and collaboration skills; proficiency in use of computers, including MS Office applications and databases; and ability to meet deadlines are strongly desired. Relevant work experience in university research or research administration will also be valuable, as well as awareness of federal compliance regulations and guidelines for grants and contracts, proficiency in technical writing, editing, and proofreading.

Preferred

Education

Master’s degree in Epidemiology, Statistics, Psychology, Economics, Public Health, health communication, Neuroscience, Biomedical Informatics, data analysis, or PhD in Health Promotion, Epidemiology, Psychology, Economics, Statistics, health communication, or Public Health.

Preferred Experience

Interest in conducting substance use research and survey data analysis.

Proficient in analyzing large-scale population-based data sets, including PATH , ABCD , NYTS , BRFSS , YRBSS , NHANES .

Experienced in implementing machine learning algorithms, particularly random forest, using R.

Experienced in analyziing neuroimaging data (optional, willing to receive training if necessary)

Experienced in analyzing genomic data (optional, willing to receive training if necessary)

Willing to learn new concepts and undergo training to acquire new skills. Open to adapting coding practices from provided training materials.

Previous experience in university research or research administration is advantageous, along with skills in technical writing, editing, and proofreading.

Preferred License

No

NA

Preferred Computer Applications

SAS

Required fields are indicated with an asterisk (*).

Individuals who need accommodation during the online application or interview process may contact  or unmcstaffing to request an accommodation.

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