Certification Rate
100%
9 H-1B petitions, 100% certified, $176,667 median salary, FY2023–2025.
Jersey City, NJ NAICS: 3254
The verdict
Dyania Health, Inc filed 9 H-1B petitions, more than 85% of U.S. sponsors - certified at 100% with a $176,667 median offered wage.
Based in Jersey City, NJ. Computed live from U.S. Department of Labor LCA disclosures.
H-1B sponsorship profile: Dyania Health, Inc. Across U.S. Department of Labor LCA disclosures, Dyania Health, Inc filed 9 Labor Condition Applications covering 9 H-1B worker positions between fiscal year 2023 and fiscal year 2025. The employer’s DOL certification rate sits at 100% (9 certified of 9 filed), a useful proxy for how cleanly their prevailing-wage attestations pass the Labor Department’s preliminary review before USCIS adjudication.
Compensation spread. Offered wages on Dyania Health, Inc’s H-1B petitions range from $150,000 at the low end to $200,000 at the high end, with a petition-weighted average of $176,667. That range reflects the mix of occupations the company sponsors, led by Senior NLP Applied Scientist (3 petitions at $180,000 avg), followed by NLP Applied Scientist and Vice President, Artificial Intelligence Research. H-1B salaries reported on LCAs must meet or exceed the DOL prevailing wage for the role and worksite, so the spread also tracks wage-level geography and seniority.
Geographic footprint. Dyania Health, Inc is headquartered in Jersey City, NJ under NAICS code 3254, and places H-1B workers across 1 state, most heavily in NJ. Combined, these signals give a granular view of how one employer uses the H-1B program, volume, approval cleanliness, wage posture, and where the jobs actually sit on the map.
Where Dyania Health, Inc ranks. By H-1B petition volume, Dyania Health, Inc is #17,879 of 119,880 employers nationally and #1,461 of 5,818 employers headquartered in NJ. Both ranks are computed live from the same underlying petition counts, not a separate estimate.
Certification Rate
100%
Avg. Salary
$176,667
Median Salary
$176,667
Total Workers
9
Dyania Health, Inc vs a peer vs the national average, from DOL LCA data.
Compensation range for H-1B positions at Dyania Health, Inc
Wage vs. DOL Minimum
+16.5%
national avg +17.9%
Typical DOL Wage Level
Fully Competent (Level IV)
77.8% of petitions
Full-Time Positions
100%
Primary Worksite County
HUDSON, NJ
100% of petitions
H-1B filing trends from FY2023 to FY2025
| Year | Petitions | Certified | Avg. Salary |
|---|---|---|---|
| FY2023 | 4 | 4 | $175,000 |
| FY2024 | 2 | 2 | $200,000 |
| FY2025 | 3 | 3 | $163,333 |
Most frequently sponsored job titles at Dyania Health, Inc
| Job Title | Petitions | Avg. Salary |
|---|---|---|
| Senior NLP Applied Scientist | 3 | $180,000 |
| NLP Applied Scientist | 3 | $163,333 |
| Vice President, Artificial Intelligence Research | 2 | $200,000 |
| AI Solution Architect | 1 | $160,000 |
Where Dyania Health, Inc places H-1B workers across the United States
Latest H-1B labor condition applications filed by Dyania Health, Inc
| Job Title | Location | Salary | Status | Year |
|---|---|---|---|---|
| AI Solution Architect | Jersey City, NJ | $160,000 | Certified | FY2025 |
| NLP Applied Scientist | Jersey City, NJ | $150,000 | Certified | FY2025 |
| Senior NLP Applied Scientist | Jersey City, NJ | $180,000 | Certified | FY2025 |
| Vice President, Artificial Intelligence Research | Jersey City, NJ | $200,000 | Certified | FY2024 |
| Vice President, Artificial Intelligence Research | Jersey City, NJ | $200,000 | Certified | FY2024 |
| Senior NLP Applied Scientist | Jersey City, NJ | $180,000 | Certified | FY2023 |
| NLP Applied Scientist | Jersey City, NJ | $170,000 | Certified | FY2023 |
| Senior NLP Applied Scientist | Jersey City, NJ | $180,000 | Certified | FY2023 |
| NLP Applied Scientist | Jersey City, NJ | $170,000 | Certified | FY2023 |
Other H-1B sponsors based in NJ, ranked by petition volume
Compare Dyania Health, Inc vs Ernst & Young US LLP side-by-side →
Essential resources for understanding H-1B visa sponsorship
Step-by-step guide from LCA filing to work authorization
Understanding prevailing wage levels I through IV
How to read and interpret DOL LCA disclosure data
Compare salaries by occupation, state, and wage level
Dyania Health, Inc has filed 9 H-1B LCA petitions covering 9 worker positions from FY2023 to FY2025.
Dyania Health, Inc has a 100% certification rate, with 9 out of 9 petitions certified.
The average H-1B salary at Dyania Health, Inc is $176,667. Salaries range from $150,000 to $200,000.
The top H-1B job titles at Dyania Health, Inc include Senior NLP Applied Scientist, NLP Applied Scientist, Vice President, Artificial Intelligence Research. The most common position is Senior NLP Applied Scientist with 3 petitions at an average salary of $180,000.
Dyania Health, Inc is headquartered in Jersey City, NJ.
No, Dyania Health, Inc is not classified as H-1B dependent.
Dyania Health, Inc filed 4 petitions in FY2023 and 3 in FY2025. Average salary changed from $175,000 to $163,333.
H-1B visa petition data is sourced from the U.S. Department of Labor (DOL) Labor Condition Application (LCA) disclosure files. Data covers fiscal years 2023 through 2026. Salary figures reflect amounts listed on LCA petitions, not actual compensation paid. Certification of an LCA does not guarantee visa approval.
Source: DOL Foreign Labor Performance Data
Source: U.S. Department of Labor, Office of Foreign Labor Certification, LCA Disclosure Data (FY2023–FY2026)
Disclaimer: This information is provided for informational purposes only and does not constitute professional advice. Data is sourced from the U.S. Department of Labor LCA disclosure files. Consult a qualified professional before making decisions based on this data.
Read our methodology , how this data is sourced, computed, and verified.
Every figure on PlainVisa is rendered directly from federal source data, no number is typed in by an editor. This page draws directly on federal source data, no figure is typed in by an editor. See our editorial standards & corrections policy, the methodology behind these numbers, or report a data error.