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University of Nebraska Medical Center is seeking a research data specialist to collaborate with principal investigators on IRB submissions and maintain research protocols. The role involves managing large longitudinal datasets, coordinating with internal and external partners, and supporting data analysis and manuscript preparation.
Initial review begins on the posted date; timely applications are encouraged.
UNMC is an Equal Employment Opportunity Employer, including an equal opportunity employer of protected veterans and individuals with disabilities.
Omaha, NE
Business Unit College of Public Health
Full-Time Regular
Monday - Friday, 8:00AM - 5:00PM; Flexible hours
Hybrid (part-time working on site, part-time working off-site)
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.
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 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)
No
NA
Microsoft Excel, Microsoft Word, Microsoft PowerPoint, Microsoft Outlook
NA
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.
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.
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.
No
NA
SAS
Required fields are indicated with an asterisk (*).
Individuals who need accommodation during the online application or interview process may contact 402-559-4070 or unmcstaffing@unmc.edu to request an accommodation.