VSVisaSignalOfficial filing intelligence

Employer profile

Sanford School Of Medicine Of The University Of South Dakota Residency

Official filing activity, wage signals, roles, and source freshness in one place.

LCA

1

PERM

0

Median wage

$69,000

Last activity

Jan 30, 2026

Summary

Plain-language read

Sanford School Of Medicine Of The University Of South Dakota Residency has filed one Labor Condition Application (LCA) for an Internal Medicine Resident position in Sioux Falls, SD, with a certified status. The salary for this role is set at $69,000 per year. As of FY2026 Q2, there are no Permanent Employment Certification (PERM) applications associated with this employer. It's important to note that LCA certification does not guarantee USCIS H-1B petition approval, and PERM certification does not equate to green card approval. This information is provided for informational purposes only and is not legal advice.

Sources

Imported periods

Employer filing context

Sanford School Of Medicine Of The University Of South Dakota Residency H-1B and PERM research checkpoints

Use this section for searches such as "Sanford School Of Medicine Of The University Of South Dakota Residency H-1B", "Sanford School Of Medicine Of The University Of South Dakota Residency LCA", and "Sanford School Of Medicine Of The University Of South Dakota Residency PERM" before comparing individual case rows.

Activity mix

1 LCA rows and 0 PERM rows are normalized to this employer.

Latest source period: FY2026 Q2.

Role and worksite signal

Top observed role: Internal Medicine Resident. Top worksite: Sioux Falls, SD.

Compare this with the H-1B/LCA and PERM drill-down tabs before treating counts as a hiring signal.

Normalization and source check

74% name match1 aliases

Primary source: DOL OFLC disclosure data. Last verified: .

Filing trends

Sanford School Of Medicine Of The University Of South Dakota Residency filing volume

1 imported H-1B/LCA and PERM filings · median wage $69,000Too few records for a fiscal-year trend chart — see the case tabs for full rows.

Roles

Top official job titles

Internal Medicine Resident1

Worksites

Top locations

Sioux Falls, SD1

Status mix

Case statuses

Certified1

LCA and PERM rows are filing signals, not USCIS approvals, green-card approvals, legal advice, or outcome predictions.

FAQ

Common questions

Does Sanford School Of Medicine Of The University Of South Dakota Residency sponsor H-1B workers?

VisaSignal shows official LCA filing activity found in the imported dataset. That activity can indicate historical immigration-related hiring signals, but it is not a promise of sponsorship.

Does Sanford School Of Medicine Of The University Of South Dakota Residency file PERM cases?

The PERM count reflects imported DOL PERM disclosure rows for this normalized employer. Raw employer names and aliases are preserved so users can inspect normalization confidence.

What does VisaSignal show for Sanford School Of Medicine Of The University Of South Dakota Residency H-1B and PERM?

For Sanford School Of Medicine Of The University Of South Dakota Residency H-1B research, the page summarizes imported DOL LCA labor-condition rows. For Sanford School Of Medicine Of The University Of South Dakota Residency PERM research, it summarizes imported DOL permanent labor certification rows. Both include roles, worksites, wage signals, case-status mix, and the latest source period.

Does an LCA certification mean an H-1B petition was approved?

No. A DOL-certified LCA is not the same as USCIS H-1B petition approval. It is an official labor-condition filing signal that should be interpreted with that limit.

Does a PERM certification mean a green card was approved?

No. PERM certification is one step in an employment-based green card process. It does not mean a green card, I-140 petition, or adjustment of status was approved.

Can this data prove an employer will sponsor a candidate?

No. Official filing history can show recent activity, roles, worksites, and wage signals, but it does not guarantee future sponsorship or predict legal outcomes.