October 17, 2026
Dear [Hiring manager's name],
At Harlow Policy Research Institute in Washington I design the stratified survey samples behind federal program evaluations, work that recently cut the margin of error on one evaluation from 6% to 3% at the same budget. I'm applying for the Statistician role at [Organization name] because your posting describes that same kind of methodologically rigorous, policy-facing survey work.
I calculate required sample sizes for about eight evaluation protocols a year, holding statistical power at 80% or higher while controlling data collection costs, and I build mixed-effects models on longitudinal data from more than 15,000 subjects, some of which have been adopted directly into agency policy guidance. Earlier in my career I developed a survey weighting adjustment that reduced nonresponse bias in employment estimates by an estimated 8%.
I program in R and SAS, hold the SAS Certified Statistical Business Analyst credential and a graduate certificate in survey methodology, and serve as an internal peer reviewer on more than 20 contractor-submitted reports a year. I mentor two junior statisticians on sampling theory, both promoted within eighteen months.
I'd welcome the chance to talk through the sampling design work and hear about the evaluation studies [Organization name] has underway. I'm glad to walk through my methodology in an interview. Thank you for considering my application.
Respectfully,
Quinn Clark
