Phase2 Technology
Postdoctoral Research Associate I, Psychology (Genetically Informed Studies of S
Phase2 Technology, Tucson, Arizona, United States, 85718
Postdoctoral Research Associate I, Psychology (Genetically Informed Studies of Social Connectedness)
Posting Number:
req24850 Department:
Psychology Location:
Main Campus, Tucson, AZ USA
Overview The University of Arizona's Department of Psychology invites you to apply for the role of Postdoctoral Research Associate I. This postdoctoral fellowship position is funded by NIA grant (#AG078361-01), Genetically Informed Studies of Social Connectedness and Health, awarded to Dr. David Sbarra (PI) at the University of Arizona. The grant is a collaborative study with the Washington State Twin Registry (WSTR), one of the most active twin registries in the United States.
Our postdoc position affords incredible research opportunities in areas related to the behavior genetic study of social relationships and health. The study involves a complex and sophisticated data collection spanning detailed neuropsychological assessments, the quantification of biological aging, and cutting‑edge ambulatory assessments of daily social experience.
We are interested in hiring a person with a strong background in behavior genetics but will consider any applicant with demonstrated experience with advanced statistical methods, including a focus on causal inference, bioinformatics and computation (more broadly), or other cutting‑edge analytic tools.
Outstanding U of A benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; U of A/ASU/NAU tuition reduction for the employee and qualified family members; access to U of A recreation and cultural activities; and more!
The University of Arizona has been recognized for its innovative work‑life programs. For more information about working at the University of Arizona and relocation services, please click here.
Duties & Responsibilities
Contribute to NIH‑funded research, including but not limited to assisting in data management, data curation and pre‑registrations, data analysis, and manuscript drafting.
Contribute to activities in the PI's laboratory that support the parent project, including but not limited to maintaining and developing a bioinformatics pipeline for the quantification of epigenetic aging metrics.
Contribute to collaborating on the supervision of graduate and undergraduate students working on the parent project.
Knowledge, Skills, and Abilities (KSAs)
Demonstrated strengths as a data analyst, especially with complex biometric twin or bioinformatics, or molecular genetic data.
Advanced knowledge of the statistical software package R.
Interest in statistical methods for causal inference.
Knowledge of research findings in epigenetic aging.
Collaborative, generous, curious, and humble scientific spirit.
Effective communication in and around lab environments.
A commitment to open and reproducible science.
Strong and demonstrated leadership skills.
Minimum Qualifications
Ph.D. in a relevant field completed or expected to be completed at the time of hire.
Experience in advanced data analysis.
Familiarity with the computational methods for the analysis of methylation‑based array data, including epigenetic clocks, and/or familiarity with co‑twin behavior genetic methods.
Preferred Qualifications None specified.
Job Details
FLSA: Exempt
Full Time/Part Time: Full Time
Number of Hours Worked per Week: 40
Job FTE: 1.0
Work Calendar: Fiscal
Job Category: Research
Benefits Eligible: Yes - Full Benefits
Rate of Pay: NIH salary guidelines, Depends on Experience
Compensation Type: salary at 1.0 full‑time equivalency (FTE)
Type of criminal background check required: Name‑based criminal background check (non‑security sensitive)
Number of Vacancies: 1
Target Hire Date: 2/16/2026
Open Date: 1/6/2026
Open Until Filled: Yes
Documents Needed to Apply: Curriculum Vitae (CV) and Cover Letter
Contact Information for Candidates David A. Sbarra PhD Associate Professor and Director of Clinical Training, Department of Psychology sbarra@email.arizona.edu
#J-18808-Ljbffr
req24850 Department:
Psychology Location:
Main Campus, Tucson, AZ USA
Overview The University of Arizona's Department of Psychology invites you to apply for the role of Postdoctoral Research Associate I. This postdoctoral fellowship position is funded by NIA grant (#AG078361-01), Genetically Informed Studies of Social Connectedness and Health, awarded to Dr. David Sbarra (PI) at the University of Arizona. The grant is a collaborative study with the Washington State Twin Registry (WSTR), one of the most active twin registries in the United States.
Our postdoc position affords incredible research opportunities in areas related to the behavior genetic study of social relationships and health. The study involves a complex and sophisticated data collection spanning detailed neuropsychological assessments, the quantification of biological aging, and cutting‑edge ambulatory assessments of daily social experience.
We are interested in hiring a person with a strong background in behavior genetics but will consider any applicant with demonstrated experience with advanced statistical methods, including a focus on causal inference, bioinformatics and computation (more broadly), or other cutting‑edge analytic tools.
Outstanding U of A benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; U of A/ASU/NAU tuition reduction for the employee and qualified family members; access to U of A recreation and cultural activities; and more!
The University of Arizona has been recognized for its innovative work‑life programs. For more information about working at the University of Arizona and relocation services, please click here.
Duties & Responsibilities
Contribute to NIH‑funded research, including but not limited to assisting in data management, data curation and pre‑registrations, data analysis, and manuscript drafting.
Contribute to activities in the PI's laboratory that support the parent project, including but not limited to maintaining and developing a bioinformatics pipeline for the quantification of epigenetic aging metrics.
Contribute to collaborating on the supervision of graduate and undergraduate students working on the parent project.
Knowledge, Skills, and Abilities (KSAs)
Demonstrated strengths as a data analyst, especially with complex biometric twin or bioinformatics, or molecular genetic data.
Advanced knowledge of the statistical software package R.
Interest in statistical methods for causal inference.
Knowledge of research findings in epigenetic aging.
Collaborative, generous, curious, and humble scientific spirit.
Effective communication in and around lab environments.
A commitment to open and reproducible science.
Strong and demonstrated leadership skills.
Minimum Qualifications
Ph.D. in a relevant field completed or expected to be completed at the time of hire.
Experience in advanced data analysis.
Familiarity with the computational methods for the analysis of methylation‑based array data, including epigenetic clocks, and/or familiarity with co‑twin behavior genetic methods.
Preferred Qualifications None specified.
Job Details
FLSA: Exempt
Full Time/Part Time: Full Time
Number of Hours Worked per Week: 40
Job FTE: 1.0
Work Calendar: Fiscal
Job Category: Research
Benefits Eligible: Yes - Full Benefits
Rate of Pay: NIH salary guidelines, Depends on Experience
Compensation Type: salary at 1.0 full‑time equivalency (FTE)
Type of criminal background check required: Name‑based criminal background check (non‑security sensitive)
Number of Vacancies: 1
Target Hire Date: 2/16/2026
Open Date: 1/6/2026
Open Until Filled: Yes
Documents Needed to Apply: Curriculum Vitae (CV) and Cover Letter
Contact Information for Candidates David A. Sbarra PhD Associate Professor and Director of Clinical Training, Department of Psychology sbarra@email.arizona.edu
#J-18808-Ljbffr