Skip to content

Senior Statistician - STEM Workforce

AlphaX United States

Remote senior Checked today

Pay not stated

The employer link is source-provided and is not live-verified by Applydra.

About the role

WIL is seeking a Senior Statistician for STEM workforce research to lead survey and statistical work on science, technology, and STEM workforce indicators as principal investigator.

About the Workforce Intelligence Lab (WIL)

The Workforce Intelligence Lab (WIL) is an applied workforce research initiative. WIL builds methodology-transparent workforce intelligence, including labor demand signals, occupational and credential pathways, and training-to-employment outcome measures, and works with education, employer, research, and community partners to turn that evidence into grant and sponsored-project collaborations. Learn more: https://wilinstitute.org

Opportunity type: this is a contingent proposal opportunity in WIL's expert collaborator network, not a funded vacancy. It supports a competitive grant application WIL is preparing; no award has been made, and there is no guaranteed work or funding. If an award proceeds and the staffing model calls for it, WIL may offer a project-based contract or consulting engagement. We will ask before naming you or including your resume in any proposal.

What you'll do

Serve as principal investigator or co-PI on statistical research proposals on science and technology indicators

Design survey, sampling, estimation, and measurement methods

Integrate federal survey microdata and administrative data on R&D, STEM education, and the STEM workforce

Lead data quality, documentation, and disclosure-avoidance practices

Write methods, analysis, and data-management sections

Contribute qualifications and past-performance narrative to WIL proposals when you authorize naming

Apply to be considered.

Requirements

Required

Track record in survey statistics, official statistics, or science and technology indicator research

Experience with large federal survey microdata or administrative data

Proficiency in R, SAS, Stata, or Python

Publications or technical reports demonstrating research leadership

Comfortable as a project-based contract collaborator; remote US

Nice to have

PhD preferred (statistics, survey methodology, economics, or related field)

Prior work with or for a federal statistical agency

Small-area estimation or disclosure-avoidance experience

Posting text as published by AlphaX.

The evidence behind this listing

Workplace
Remote Employer field
Seniority
senior From the job title
Employment type
Not established
Location as listed
United States

Pay and work authorization

Stated pay
Not stated
Visa sponsorship
Not stated
Security clearance
Not established
Citizenship
Not established