Research & Data Analyst, Age-Friendly Standards (Full-Time or Part-Time)

American Association for Elder Care
Las Vegas, NV, United States
17 days ago
Apply on www.idealist.org
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$24,960.0
Working hours
Regular working hours
Languages
Chinese

Tech stack

Spreadsheets R (Programming Language) SPSS (Software) Python (Programming Language) Stata Backend

Job description

About AAEC

The American Association for Elder Care (AAEC) is a 501(c)(3) nonprofit working to improve the quality and accessibility of elder care in the United States. Our core initiative is the development of an Age-Friendly Classification system - a standards framework that helps older adults, families, and service providers evaluate whether facilities, programs, and travel experiences genuinely meet the needs of an aging population. AAEC operates as a backend enabler for partner organizations rather than as a direct service provider, which means our research output reaches the field through the partners who adopt it.

The Role

We are looking for an analyst to support the research behind our Age-Friendly Classification standards. Both full-time and part-time arrangements are available. This is a small organization, so the work is hands-on and the scope is unusually wide: the criteria you help build will be applied by partner organizations in the field.

Responsibilities

  • Design and execute data collection protocols across facilities, service providers, and partner networks

  • Clean, structure, and analyze quantitative and qualitative datasets; produce summary statistics and visualizations

  • Conduct literature and policy reviews on aging, long-term care, and accessibility standards

  • Support drafting and revision of classification criteria and scoring methodology

  • Prepare research briefs and documentation for internal and partner use

Qualifications

  • Master’s degree completed or in progress in public health, epidemiology, biostatistics, health policy, gerontology, data science, or a related field

  • Proficiency in at least one analytical tool (R, Python, Stata, or SPSS) and strong spreadsheet skills

  • Ability to write clearly for non-technical audiences

  • Demonstrated interest in aging, long-term care, or health equity

  • Preferred: survey design experience; familiarity with CMS or public health datasets; Mandarin proficiency (a meaningful share of the communities we serve)

What We Offer

  • Direct mentorship from AAEC leadership and substantive ownership of a standards product you can point to

  • Full-time (approximately 40 hours/week) and part-time (approximately 20 hours/week) options, with flexibility around other commitments

  • AAEC is enrolled in E-Verify and can support STEM OPT training plan documentation for qualifying candidates

  • All applicants authorized to work in the United States are encouraged to apply

About the Compensation

We want to be straightforward: this position pays $12.00/hour, which reflects the budget of a small nonprofit rather than the market value of the work. We are looking for someone for whom the research experience, the mentorship, and the portfolio are worth that trade. Both full-time and part-time schedules are available.

How to Apply

Send a résumé and a brief note (no more than 300 words) describing an analysis you have run and what you concluded, to Info@aaeldercare.org. Applications reviewed on a rolling basis.

AAEC is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, citizenship status, or any other protected characteristic.

Requirements

Master’s degree completed or in progress in public health, epidemiology, biostatistics, health policy, gerontology, data science, or a related field

  • Proficiency in at least one analytical tool (R, Python, Stata, or SPSS) and strong spreadsheet skills

  • Ability to write clearly for non-technical audiences

  • Demonstrated interest in aging, long-term care, or health equity

  • Preferred: survey design experience; familiarity with CMS or public health datasets; Mandarin proficiency (a meaningful share of the communities we serve)

Benefits & conditions

Full-time (approximately 40 hours/week) and part-time (approximately 20 hours/week) options, with flexibility around other commitments

  • AAEC is enrolled in E-Verify and can support STEM OPT training plan documentation for qualifying candidates

  • All applicants authorized to work in the United States are encouraged to apply

About the Compensation

We want to be straightforward: this position pays $12.00/hour, which reflects the budget of a small nonprofit rather than the market value of the work. We are looking for someone for whom the research experience, the mentorship, and the portfolio are worth that trade. Both full-time and part-time schedules are available.

About the company

The American Association for Elder Care (AAEC) is a 501(c)(3) nonprofit working to improve the quality and accessibility of elder care in the United States. Our core initiative is the development of an Age-Friendly Classification system - a standards framework that helps older adults, families, and service providers evaluate whether facilities, programs, and travel experiences genuinely meet the needs of an aging population. AAEC operates as a backend enabler for partner organizations rather than as a direct service provider, which means our research output reaches the field through the partners who adopt it.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.idealist.org
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:28 min

Utilizing artificial intelligence to analyze neurodegenerative diseases

Jeremy Murray Jeremy Murray · World Congress 2026 Europe

1:32 min

Recognizing the persistence and utility of spreadsheet applications

John Bettiol · World Congress 2022

1:52 min

Structuring and scaling the backend engineering team

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

6:10 min

Transitioning agile recruiting teams away from manual spreadsheet management

Rudi Bauer Rudi Bauer +1 · Cappuccino with HR

2:37 min

Addressing age-related accessibility regression in older demographics

Ramona Domen · LIVE

1:12 min

Choosing TypeScript for complex backend applications

Maximilian Otto Maximilian Otto · World Congress 2024

Videos

See all

Related articles

See all