CHI St. Alexius Health
Health Care & Social Assistance · Primarily ND · PERM filings 2019–2024
Overview
CHI St. Alexius Health is a Health Care & Social Assistance employer that has filed 7 PERM green-card applications between FY2019 and FY2024. That places it #10,433 among all U.S. PERM sponsors in our dataset. 7 were certified (100% approval rate), taking about 224 days on average. The most-sponsored role is HOSPITALIST, with most worksites in ND, and the median sponsored wage is $250,000.
7
PERM filings
100%
approval
0
denied
$250,000
median wage
224d
avg processing
Worker background
Across 5 filings with beneficiary data, the most common country of origin is CANADA (40%). (From legacy PERM form data, FY2020–FY2024.)
Top countries of origin
- Canada2
- Kosovo1
- Philippines1
- Egypt1
Prior visa status
- H-1B5
Education
- Other4
- Bachelor's1
PERM filings by year
Occupations & job titles
The occupations CHI St. Alexius Health most often sponsors, with average wages.
| Occupation | Filings | Avg wage |
|---|---|---|
| HOSPITALIST | 4 | $250,000 |
| Pediatricians, General | 2 | $300,000 |
| Medical and Clinical Lab Technologist | 1 | $55,328 |
Common job titles
Worksite states
Wage range
$250,000
25th
$250,000
median
$250,000
75th
$300,000
90th
Law firms used
- POLSINELLI, PC5
- Polsinelli2
Recent filings
| Case | Job title | Status | Worksite | Decision |
|---|---|---|---|---|
| G-100-24162-091139 | NEONATOLOGIST PHYSICIAN | Certified | Bismarck, ND | Sep 5, 2025 |
| G-100-24162-091149 | NEONATOLOGIST PHYSICIAN | Certified | Bismarck, ND | Sep 5, 2025 |
| A-20062-25555 | HOSPITALIST | Certified - Expired | BISMARCK, ND | Sep 1, 2020 |
| A-20059-24628 | HOSPITALIST | Certified - Expired | BISMARCK, ND | Jul 8, 2020 |
| A-20034-14668 | Medical Technologist | Certified - Expired | Turtle Lake, ND | Jun 24, 2020 |
| A-19340-91719 | HOSPITALIST | Certified - Expired | BISMARCK, ND | Apr 22, 2020 |
| A-19330-88308 | HOSPITALIST | Certified - Expired | BISMARCK, ND | Apr 17, 2020 |
Source: U.S. DOL OFLC PERM disclosure data. Wages are annual-equivalent; outliers excluded.