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Experimental design and methods; Analyzing and interpreting data

Program Evaluator

What this job does:

Designs evaluations to measure whether programs work. Triangulates (collects and analyzes) data from multiple sources and methodologies, like surveys, interviews, and administrative sources. Reports findings in plain language for stakeholders and improvement.

This job is similar to these lab/research tasks:

Design experimental manipulations and define behavioral outcomes; run human-subject data collection; analyze results and run sensitivity checks; write and present clear recommendations; review literature to justify designs and interpret outcomes

Typical starting salary range

$71,113 to $132,669

Salary estimate represented as 25th to 75th percentile. Gathered from recent job postings, Glassdoor.com, and Salary.com

Daily task breakdown

- Evaluation design (logic models, study design, metrics, analysis plans) (25%)
- Data collection (surveys, interviews, administrative data, site observations) (25%)
- Data analysis and synthesis (quant and qual, triangulation) (25%)
- Reporting and stakeholder communication (dashboards, briefs, presentations) (15%)
- Other: project management, grant support, and continuous improvement (10%)

Skills you'll use in this job:

Study and evaluation design; qualitative and quantitative methods; data management; clear writing; stakeholder management; project planning; ethics and confidentiality mindset

Talk about these PhD skills in your resume and interview:

Frame your PhD as rigorous evaluation work: defining outcomes, building measurement instruments, collecting data reliably, and turning analysis into clear recommendations with limitations.

Alternative job titles to search:

Evaluation Specialist; Monitoring & Evaluation (M&E) Specialist; Research and Evaluation Specialist; Impact Evaluation Analyst; Program Evaluation Manager

*Note:

-Job titles are inconsistent between companies. Try various keywords.
-PhDs tend to undershoot seniority level. Target higher than you think.

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