Montefiore Medical Center

Montefiore Medical Center

AI Computational Engineer

US

Sponsorship not specified$124k-$155kDetected 1 day ago
PythonGitSQLMachine LearningPyTorchData EngineeringData ScienceNLPClinical TrialsClinical ResearchRadiologyResearchCommunicationPublic Speaking

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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.

Lottery odds assume a STEM candidate.

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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 9 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 38 Department of Labor filings, this employer states it is a nonprofit affiliated with 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.

Green-card follow-through: 50%

Of 6 labor certifications old enough to have been used, 3 expired without the employer filing the next step. Median time from filing to decision: 505 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

63 transfer filings in the last year, covering 79 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.

Community outcomes

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About the role

  • The role combines hands on computer science research with implementation of reusable services.
  • Montefiore Health System, Inc. is an equal employment opportunity employer.

Responsibilities

  • Develop and maintain research data pipelines that integrate clinical records, text, imaging, and other approved data sources. Document data definitions, quality checks, metadata, lineage, and transformations to support FAIR aligned reuse.
  • Help implement standardized, governed data access workflows and reusable tools for cohort discovery, phenotyping, trial feasibility, recruitment planning, and research analytics. Translate investigator needs into scoped requirements and track delivery.
  • Turn validated methods into maintainable research services and interfaces, with version control, automated tests, monitoring, user documentation, and clear handoff to authorized operational partners.
  • Work with ICTR, the Data Science Institute, and Montefiore data, IT, security, privacy, and oversight partners to implement approved access and governance requirements.
  • Support investigators through consultations, demonstrations, training materials, and reusable examples; contribute technical content to publications, grants, and multi-site research collaborations.
  • This individual may focus on different data types or methods while sharing responsibility for rigorous evaluation, documentation, and investigator support.

Requirements

  • Demonstrated ability to prepare complex datasets, run controlled experiments, assess model performance, and communicate limitations clearly.
  • Experience using Git and working collaboratively on documented, maintainable software or research pipelines.
  • Ability to translate needs across technical and nontechnical colleagues, prioritize practical work, and learn biomedical and research operations concepts

Nice to have

  • Master's degree or equivalent research or industry experience in AI, computer science, biomedical informatics, or a related field, or equivalent experience.
  • Experience with GPU or high-performance computing, reproducible model training and inference, containers, SQL, APIs, or research data platforms.
  • Familiarity with clinical research workflows, FAIR data practices, common data models, biomedical ontologies, data provenance, human review, or responsible AI assessment.
  • Evidence of research communication and user focused delivery through publications, presentations, open-source work, training, or documented deployed projects.
  • a master's degree may provide that experience.

Compensation

  • $124,000.00-$155,000.00
  • HOURS Pay Range:

Benefits

  • Develop, benchmark, and validate AI methods, including information extraction, multimodal models, large or vision language models, and interpretable or knowledge informed approaches when suitable for the use case.
  • Data & Analytics Health Research Informatics Work Shift:

Visa & Work Authorization

  • ssociates in all job classifications without regard to their race, color, religion, creed, national origin, alienage or citizenship status, age, gender, actual or presumed disability, history of disability, sexual orient

This listing is sourced directly from Montefiore Medical Center's careers page and normalized into a canonical job model.