W M Rice University

W M Rice University

Data Scientist

United States

Sponsorship not specifiedDetected 8 days ago
SQLData EngineeringData ScienceAgentic AI

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odds of building a lasting career here

88Lottery-free
Cap-exempt (no lottery)100
Sponsors year-round90
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.

Lottery odds assume a STEM candidate.

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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 7 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

8 transfer filings in the last year, covering 8 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 Rice University Department of Computer Science and Department of Materials Science and NanoEngineering are seeking a Data Scientist to build and operate the data infrastructure for READINESS, a new $20 million NSF-funded project transforming four materials synthesis systems (CVD, thermal, PVD, and plasma CVD reactors for 2D materials, oxides, and
  • diamond films) into an AI-driven, remotely accessible autonomous laboratory.

Responsibilities

  • The position combines data engineering and analysis, including deploying an S3-compatible object store, developing ingestion connectors for live instruments and robot controllers, and establishing SQL and vector-search capabilities under Rice single sign-on.
  • The role will also compute embeddings over images and spectra, develop retrieval and similarity-search services, and build AI agents capable of answering researchers' questions directly from the data.
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This listing is sourced directly from W M Rice University's careers page and normalized into a canonical job model.