Home / Roles / Titles / Quantitative Research Assistant / DC / FY2019
Quantitative Research Assistant H-1B roles in DC, FY2019
Exact-title LCA role declarations for Quantitative Research Assistant in DC during FY2019. Rows include employer, SOC, worksite, status, decision date, offered wage, prevailing wage, and source evidence. Showing 2 returned rows using keyset pagination.
Summary
This view lists 2 H-1B LCA role records.
Offered wages among the returned rows range from $51,500 to $55,500.
Employers in the returned rows include Center for Applied Linguistics.
LCA filings are labor-condition applications certified by the U.S. Department of Labor, not active job postings or approved USCIS H-1B petitions.
| Role | Employer | SOC | Status / visa | Decision | Worksite | Offered wage | Prevailing wage | Source |
|---|---|---|---|---|---|---|---|---|
| QUANTITATIVE RESEARCH ASSISTANT I-200-18331-920145 | Center for Applied Linguistics | 43-9111 STATISTICAL ASSISTANTS | CERTIFIED / H-1B FY2019 | 2019-03-11 2019-06-27 to 2022-06-26 | Washington, DC, 20016 | $55,500 year | $51,085 | sr_dol_oflc_lca_2019_q2_row_664051 |
| QUANTITATIVE RESEARCH ASSISTANT I-200-18257-214175 | Center for Applied Linguistics | 19-4061 SOCIAL SCIENCE RESEARCH ASSISTANTS | CERTIFIED-WITHDRAWN / H-1B FY2019 | 2018-10-15 2019-02-09 to 2022-02-08 | Washington, DC, 20016-1859 | $51,500 year | $48,755 | sr_dol_oflc_lca_2019_q2_row_613494 |
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Frequently asked questions
- What are the offered H-1B wages for Quantitative Research Assistant H-1B roles in DC, FY2019?
- Offered wages among the returned Quantitative Research Assistant H-1B roles in DC, FY2019 rows range from $51,500 to $55,500 in DOL LCA filings. LCA filings are labor-condition applications certified by the U.S. Department of Labor, not active job postings or approved USCIS H-1B petitions.
Get this page with API
Rendered from the bluedoor H-1B Jobs API. Reproduce it:
GET https://api.bluedoor.sh/h1b-jobs/v1/roles?limit=50&title=quantitative+research+assistant&title_match=exact&state=DC&fiscal_year=2019JSON