Postdoctoral Research Associate I

University of Arizona College of Medicine - Phoenix; Northern (KY); Hybrid; USD 63,000 - 64,000; Full time

Benefits offered by this job

Full benefits

Job summary

The University of Arizona College of Medicine - Phoenix invites applications for a Postdoctoral Research Associate I with the ARCHES project (R01HL164715). You will analyze longitudinal health data, perform causal inference, and contribute to manuscripts and grant proposals.

Remote work is possible from anywhere in the U.S. with salary in the NIH range; typical responsibilities include advanced epidemiological analyses, data management, and presenting findings at conferences.

Qualifications

• PhD/MD or other doctoral degree in epidemiology or public health or related field.
• First-author peer-reviewed publication demonstrated.
• Advanced statistical analysis skills required.

Responsibilities

• Conduct statistical analyses using advanced epidemiological methods and software.
• Interpret and summarize findings, identify patterns, and make recommendations.
• Write manuscripts for peer‑reviewed journals in public health and medicine.
• Contribute to grant proposals and reports.
• Present findings at conferences and scientific forums.

Skills

Epidemiology knowledge

Statistical analysis

Scientific writing

Independent work

Team collaboration

Data management

Education

PhD or MD or doctoral degree

Tools

R

SAS

STATA

Job description

Location

To Be Determined

Address

USA

Position Highlights

We are seeking a skilled and detail-oriented individual to join our team as a Postdoctoral Research Associate I in the National Heart, Lung and Blood Institute (NHLBI) “Advancing Research in Cardiovascular Health and Endometriosis Study” (ARCHES) (R01HL164715). The Postdoctoral Research Associate I, under guidance of our team of Principal and Co-Investigators, will be responsible for analyzing complex health-related data, with a focus on longitudinal data analysis, population databases, and causal inference. This project has two components:

• The re-contacting of 507 Utah-based participants in the NICHD ENDO study (Research Cohort).
• Analyses of medical record data from the Utah Population Data Base (Population Cohort ~3 million women).

Candidates working anywhere in the U.S. may be considered for a remote assignment. If you are selected for this position and are employed to work remotely from outside of Arizona, your overtime exemption status will depend on the laws of the state where you perform your work. For employees working outside of Arizona, you may be hired as an hourly employee in accordance with state laws. A comparable hourly rate range would be: $30.51 - $30.95. These changes would not affect the position duties as outlined.

Visa sponsorship is not available for this position.

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!

Duties & Responsibilities

• Conduct statistical analyses using advanced epidemiological methods and appropriate statistical software. While no one specific programing language is preferred, the ability to do advanced data cleaning and statistical analyses is required.
• Interpret and summarize research findings, identify patterns, and generate actionable recommendations.
• Write and prepare manuscripts for publication in peer-reviewed scientific journals in public health and medicine.
• Contribute to the development of research grant proposals and reports.
• Present research findings at conferences and other scientific forums.

Knowledge, Skills and Abilities:

• Strong knowledge of epidemiological study design, data collection, and statistical analysis.
• Proficiency in statistical software (e.g., R, SAS, STATA) and data management techniques.
• Demonstrated experience in analyzing large epidemiological datasets.
• Excellent scientific writing skills, with a track record of publications in peer-reviewed journals.
• Ability to work independently and collaboratively in a team environment.

Minimum Qualifications

• PhD, MD, or other doctoral degree, preferably in epidemiology, public health biostatistics, or in health-related discipline from an accredited program.
• The applicant will have a demonstrated record of scientific accomplishment as evidenced by at least one first author peer-reviewed publication in a scientific journal.
• Advanced statistical analysis skills are also required.

Preferred Qualifications

• 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: $63,480 - $64,380
• Compensation Type salary at 1.0 full-time equivalency (FTE)
• The Rate of Pay Field represents the University of Arizona’s good faith and reasonable estimate of the range of possible compensation at the time of posting. The University considers several factors when extending an offer, including but not limited to, the role and associated responsibilities, a candidate’s work experience, education/training, key skills, and internal equity.
  The Grade Range represent a full range of career compensation growth over time. The university offers compensation growth opportunities within its career architecture. To learn more about compensation, please review our Applicant Compensation Guide and our Total Rewards Calculator .
  The grade range for this position is $63,480 - $64,380. Each unit typically sets starting pay between the minimum and midpoint upon hire as reflected in the Rate of Pay field above.
  
• Type of criminal background check required: Name-based criminal background check (non-security sensitive)
• Number of Vacancies 1
• Target Hire Date
• Expected End Date
• Contact Information for Candidates Leslie Farland I [e-mail]
• Open Date 9/24/2026
• Open Until Filled Yes
• Documents Needed to Apply Resume and Cover Letter
• Special Instructions to Applicant The application window is anticipated to close October 1, 2026

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