Baylor College Of Medicine

Baylor College Of Medicine

Postdoctoral Associate - Clinical Bioinformatics

Houston, Harris County

Sponsorship not specifiedDetected 81 days ago
AlgorithmsMachine LearningNLPBioinformaticsResearch

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odds of building a lasting career here

88Lottery-free
Cap-exempt (no lottery)100
Sponsors year-round100
Entry-level history60
PERM / green-card track50
Fits your clock70

Files H-1B any time — no cap, no lottery. The 2026 weighted-selection rule doesn't touch it, which makes this the strongest structural path for entry-level talent. Pay is often lower, but your odds of staying are dramatically higher.

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Employer immigration record

from this employer's Department of Labor filings

States it is exempt from the H-1B cap

In 202 Department of Labor filings, this employer states it is an institution of higher education — one of the statutory grounds for exemption from the H-1B cap. Cap-exempt employers can file year-round without entering the lottery.Employer's own attestation on a Department of Labor wage determination, not a USCIS determination — exemption is decided per petition.

Files H-1B transfers

11 transfer filings in the last year, covering 11 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • The Postdoctoral Associate will write manuscripts, present research findings locally and nationally, and contribute to advancing clinical info…

Responsibilities

  • The position involves annotating clinical data, collaborating with AI/ML/NLP teams, developing algorithms, and generating insights to improve patient care.

Benefits

  • Summary The lab is seeking a postdoctoral researcher to collaborate on groundbreaking projects integrating patient-level data with artificial intelligence (AI) and machine learning (ML) methodologies.
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