University of California , San Francisco

Cmptl & Data Sci Rsh Spec 3 Rp

San Francisco, California · Mid

Sponsorship not specifiedDetected 91 days ago
AlgorithmsData AnalysisData ScienceBioinformaticsResearchGISLeadershipCommunicationCollaboration

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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.

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 7 green-card filings in this occupation, 100% were for a worker who already held the job.

States it is exempt from the H-1B cap

In 2 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

22 transfer filings in the last year, covering 22 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

  • Involves a hybrid of multiple computational / data / Cyberinfrastrcture (CI) dominated fields such as, but not limited to, bioinformatics, geological information services (GIS), data analytics, and computational chemistry.
  • This specialty / function exists for those positions whose primary responsibility is to do research and use computational and data science technology as a tool to accomplish the research.
  • The Neuroimaging Scientist will bring expertise that will integrate neuroimaging data with behavioral and physiological monitoring, leveraging advanced neuromodulation technologies.

Responsibilities

  • Identify the functions or tasks that employees in the job perform.
  • Yes Plans, designs, develops, modifies, debugs, deploys and evaluates complex HPC (software and / or hardware) or data science or computational science or CI research software and technologies or combination thereof.
  • Performs complex analysis and tests / debugs complex software and hardware.
  • May work with domain scientists where applicable to perform these responsibilities and uses domain science knowledge where relevant.
  • Collaborates with faculty on a broad range of research problems and that builds

Requirements

  • Bachelor's degree in Computer / Computational / Data Science, or Domain Sciences with computer / computational / data specialization or equivalent experience
  • Minimum of 3 years of related experience
  • Intermediate knowledge of HPC / data science / CI
  • Demonstrated ability to regularly interface with management
  • Demonstrated ability to contribute research and technical content to grant proposals
  • Proven skills and experience in independently resolving broad computing / data / CI problems using introductory and / or intermediate principles
  • Proven ability to successfully work on multiple concurrent projects
  • Demonstrated broad experience in one or more of the following: optimizing, benchmarking, HPC performance and power modeling, analyzing hardware, software, and applications for HPC / data / CI

This listing is sourced directly from University of California , San Francisco's careers page and normalized into a canonical job model.