AHPS Programmer Analyst

Department :

Carolina Population Center-631100

Career Area :

Information Technology

Posting Open Date : 09 / 18 / 2024

09 / 18 / 2024

Application Deadline :

10 / 01 / 2024

Open Until Filled : Position Type :

Position Type :

Permanent Staff (EHRA NF)

Working Title :

AHPS Programmer Analyst

Appointment Type :

EHRA Non-Faculty Research

Position Number : 20067012

20067012

Vacancy ID : NF0008497

NF0008497

Full Time / Part Time :

Full-Time Permanent

FTE : Hours per week :

Hours per week : Position Location :

Position Location : North Carolina, US

North Carolina, US

Hiring Range : $65,000 - $75,000

$65,000 - $75,000

Proposed Start Date :

10 / 28 / 2024

Be a Tar Heel! :

A global higher education leader in innovative teaching, research and public service, the University of North Carolina at Chapel Hill consistently ranks as one of the nation’s top public universities .

Known for its beautiful campus, world-class medical care, commitment to the arts and top athletic programs, Carolina is an ideal place to teach, work and learn.

One of the best college towns and best places to live in the United States, Chapel Hill has diverse social, cultural, recreation and professional opportunities that span the campus and community.

University employees can choose from a wide range of professional training opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks for numerous retail, restaurant and performing arts discounts, savings on local child care centers and special rates on select campus events.

UNC-Chapel Hill offers full-time employees a comprehensive benefits package , paid leave, and a variety of health, life and retirement plans and additional programs that support a healthy work / life balance.

Primary Purpose of Organizational Unit :

Since 1966, researchers at the Carolina Population Center have pioneered data collection and research techniques that move population science forward by emphasizing life course approaches, longitudinal surveys, the integration of biological measurement into social surveys, and attention to context and environment.

We are also at the forefront of creating interdisciplinary training programs that integrate approaches from the social and biological sciences, building research capacity and training the next generation of scholars.

Our faculty fellows address pressing research questions about population dynamics, fertility, health, mortality, migration, and the environment.

Faculty come from multiple disciplines, benefiting from the cross-pollination of ideas. Our dedicated research and programming staff support fellows at every stage of project development, from conception through data collection or acquisition, analysis and dissemination, and project administration.

https : / / www.cpc.unc.edu / about /

Position Summary :

The Add Health Parent Study (AHPS), housed at the Carolina Population Center (CPC), is an innovative intergenerational biosocial project funded by National Institutes of Health (NIH) for a second phase that will increase the diversity of the sample and add new cognitive and genetic data.

A multiethnic / racial and interdisciplinary team of scientists will collect longitudinal cognitive, social, behavioral, and biological data on parents of individuals who participated in the National Longitudinal Study of Adolescent to Adult Health (Add Health), which has been administered at CPC for 25+ years.

Phase 2 of the Add Health Parent Study will increase the number of Non-Hispanic Black and Hispanic parent participants in the AHPS.

These new participants will be administered a one-hour survey that Phase 1 participants completed. The full AHPS sample (e.

g., Phase 1 and 2) will then be administered an Alzheimer’s Disease and Alzheimer’s Disease Related Dementias (AD / ADRD) Assessment, and physical measures and DNA data collection.

These data will be linked to an earlier wave of data collection on the parents to create longitudinal AHPS data and also linked to longitudinal data on their children in Add Health.

Cognitive measures across the two generations and a multigenerational genomic database will be created, and these new data will be available to the scientific community of 50,000+ Add Health and AHPS users.

This project will facilitate the study of racial / ethnic disparities in cognitive aging, caregiving, and various dementia risks across two generations with longitudinal, nationally representative data collected from adult children and their parents.

The programmer should have experience working with administrative, survey and biological data. In year 2, programmer will work under the supervision of the Data Manager to create and maintain a tracking system for DNA specimens (saliva and dried blood spots) collected in the field and sent to the UT Houston Lab and for coordinating and checking consents for DNA specimen collection.

In year 2, they will begin data cleaning activities as survey field data begin to come in. Their effort increases substantially in years 3-5 when data flows intensify from both survey and biospecimen collection and they link and review data in real time, conduct deductive disclosure analysis of new and merged data files, and assist in preparing the final file and codebook for dissemination.

They will also support the GRAs in years 4 and 5 in the cleaning and coding of FHH data and in preparation of measures for proposed aims 3a and 3b analyses.

The programmer will also monitor the incoming Assessment data from the field in real time, conduct data quality checks, and report on any data issues as they arise to both the AD / ADRD Assessment Project Manager and RTI contractor team.

In year 1, the programmer will set up algorithms for checking and cleaning data. In years 2-4, the programmer will clean data, code assessment variables, and harmonize assessment variables with those from Add Health Wave VI on the adult children.

The programmer will prepare data tables for user guides on the AD / ADRD Assessment and prepare files for dissemination, including those for the Intergenerational AHPS Add Health database that merges the longitudinal AHPS data with longitudinal Add Health data.

Minimum Education and Experience Requirements :

Master’s or Bachelors and 0-2 years’ experience; or will accept a combination of related education and experience in substitution.

Required Qualifications, Competencies, and Experience :

Must be able to demonstrate extensive experience with SAS.

Preferred Qualifications, Competencies, and Experience :

• Experience with SUGEN, R, Plink, Linux, Python, and Stata.
• Demonstrated experience managing and analyzing genomic and phenotypic data.
• Significant experience with Microsoft Excel.
• Skill with highly organized data storage and documentation techniques that promote transparent documentation, collaboration, access, and reproducibility.
• Ability to work both collaboratively and independently on data quality assessments, data cleaning, and basic analysis.

Campus Security Authority Responsibilities :

Not Applicable.