About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Higher Education.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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Position Overview

The Confidential Client is seeking a full-time Social Science Data Analyst (Intermediate) to join a research program focused on the demography of aging, disability, and caregiving. This two-year term-limited position (with possible extension based on funding and performance) will work closely with research faculty to prepare population-based survey data, run weighted and model-based analyses, and document methodological decisions for publications and presentations.

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What You’ll Do

• 35% — Prepare survey data and create analytic files

• Write programs to clean, recode, and handle missing survey data using Stata, R, or similar statistical packages

• Prepare and organize analytic data files, generate derived variables, and maintain reproducible data-processing workflows

• 35% — Perform statistical analyses

• Run weighted descriptive analyses and fit models (linear, logistic, count regression), survival analyses, and mixed models

• Apply appropriate statistical tests in consultation with faculty; explore advanced techniques (e.g., machine learning) using R or Python when needed

• 30% — Document procedures and produce methodological materials

• Clearly document analytic file construction, variable generation, and model estimation

• Contribute to technical sections of manuscripts and presentations, including methods descriptions, tables, and figures

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Required Qualifications

• Master’s degree in a social science or public health field (e.g., epidemiology, quantitative sociology, demography, health services) or a closely related field
• 2–3 years of applied experience with complex, population-based surveys and demonstrated data management skills
• Proven ability to program and conduct statistical analyses using Stata or R (or equivalent)
• Strong grounding in statistical theory and applied quantitative methods for social science research
• Highly organized, detail-oriented, and able to manage multiple tasks with precise record-keeping
• Excellent written and verbal communication skills; able to document complex data and methods clearly and collaborate with interdisciplinary teams
• Willingness to learn and apply new methods and tools as needed

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Desired Qualifications

• Experience working with the National Health and Aging Trends Study (NHATS), the National Study of Caregiving (NSOC), or similar national aging surveys
• Demonstrated interest in aging, caregiving, long-term care, or health research
• Experience collaborating with interdisciplinary research teams
• Familiarity with advanced modeling approaches or machine learning methods (R or Python)

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Work Mode & Location

• Work location is expected to be onsite in Ann Arbor, MI, with flexibility for hybrid arrangements at the hiring department’s discretion.
• Work agreements and hybrid eligibility are reviewed periodically and may change based on departmental needs.

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Term, Benefits & Additional Info

• This is a two-year term-limited position with possible extension depending on funding and performance.
• The Confidential Client offers a comprehensive benefits package including paid time off, retirement contributions, multiple health insurance options, life insurance, long-term disability, and flexible spending accounts.
• Background checks are required upon acceptance of a contingent offer and will comply with the Fair Credit Reporting Act.
• Positions are posted for at least fourteen (14) calendar days; the opening may be filled any time after the minimum posting period.

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Compensation

• The source posting lists a salary range of USD 68,000–75,000 per year for this role.

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Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.