The J David Gladstone Institutes

The J David Gladstone Institutes

Research Engineer I II/III (AI / Machine Learning)

San Francisco, USA · Mid

Sponsorship not specified$78k-$114kDetected 83 days ago
PythonGitVector DatabasesAWSGCPAzureCloud PlatformsDockerMachine LearningLLMsAgentic AILangGraphBioinformaticsCRISPRMolecular BiologyResearchAnimal ModelsCommunicationCollaboration

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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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H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level I · 1×
Level I$110,3861 entry
Level II$142,4382 entries
Level III$174,5123 entries
Level IV$206,5654 entries

The bottom of this range ($78,000) is below the Level I prevailing wage of $110,386. An H-1B cannot be filed below the prevailing wage, so an offer at the floor of this band could not be sponsored as posted.

DOL prevailing wage, 2026-27 wage year · Data Scientists (15-2051) · San Francisco-Oakland-Fremont, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

Employer immigration record

from this employer's Department of Labor filings

States it is exempt from the H-1B cap

In 2 Department of Labor filings, this employer states it is a nonprofit or governmental research organization — 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.

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

  • This is a unique opportunity to work at the intersection of frontier AI and experimental biology, helping define how AI transforms biomedical research.

Responsibilities

  • Design and build systems for ingesting literature, datasets, electronic lab notebooks, Slack discussions, meeting transcripts, code repositories, protocols, etc. into a "lab knowledge repository" (data layer) optimized for search & retrieval of information by AI agents.
  • Develop agentic AI systems that reason across the lab knowledge repository, and use external tools to perform multi-step scientific workflows tailored to the lab's focus and ways of working.
  • Build always-on AI agents that proactively review new papers, meetings transcripts, etc. and make connections, suggest hypotheses & experiments, identify flaws or gaps, and help with interpretation.
  • Collaborate closely with experimental scientists to rapidly prototype and deploy AI tools.
  • Experience building projects with LLMs and agentic AI frameworks such a Langchain/Langgraph, OpenAI/Gemini/Claude SDK, etc.
  • A meaningful place to grow and learn -whether it's your professional skills or scientific knowledge, we have the resources and environment to advance either so you can better support Gladstone's mission to drive a new era of discovery in disease-oriented science and to mentor tomorrow's leaders in an inspiring and excellent environment.

Requirements

  • Experience with cloud infrastructure (GCP, AWS, Azure), Docker, Git, and modern software engineering practices.
  • Experience with biological datasets (RNA-seq, CRISPR screens, imaging, proteomics, metabolomics).

Compensation

  • $78,000-$114,000
  • Compensation -competitive salary. Title and salary will be commensurate with education and experience.

Benefits

  • Located in San Francisco's vibrant Mission Bay research hub, Gladstone brings together exceptional researchers, clinicians, and professionals who share a common goal: improving human health through science.
  • BS or MS in Computer Science, AI, Machine Learning, Computational Biology, Bioengineering, or a related quantitative discipline.
  • Interest in biology and enthusiasm for learning molecular biology and biomedical research.
  • Gladstone Perks & Benefits
  • Excellent benefits -generous medical, dental, vision, retirement plan, paid vacation, commuter benefits, access to free shuttle transportation.

Company info

  • At Gladstone Institutes, every role contributes to discoveries that have the potential to transform
  • Gladstone is a world-renowned independent, nonprofit biomedical research organization dedicated to solving some of the most challenging diseases affecting humanity. Our scientists are leaders in neuroscience, cardiovascular disease, immunology, stem cell biology, and emerging areas of biomedical innovation. Located in San Francisco's vibrant Mission Bay research hub, Gladstone brings together exceptional researchers, clinicians, and professionals who share a common goal: improving human health through science.
  • With approximately 600 employees, we offer the agility of an independent institute combined with the impact of a globally recognized research organization. We foster a collaborative, inclusive culture where employees are encouraged to grow professionally while contributing to work that truly matters.
  • Gladstone is a world-renowned independent, nonprofit biomedical research organization dedicated to solving some of the most challenging diseases affecting humanity.
  • Our scientists are leaders in neuroscience, cardiovascular disease, immunology, stem cell biology, and emerging areas of biomedical innovation.
  • With approximately 600 employees, we offer the agility of an independent institute combined with the impact of a globally recognized research organization.
  • We foster a collaborative, inclusive culture where employees are encouraged to grow professionally while contributing to work that truly matters.

This listing is sourced directly from The J David Gladstone Institutes's careers page and normalized into a canonical job model.