Novartis

Novartis

Data Science & AI Innovation Postdoctoral Fellow

San Diego · Full-time

H1B sponsorship availableDetected 67 days ago
Machine LearningData AnalysisData ScienceComputer VisionAgentic AIClinical TrialsClinical ResearchBioinformaticsResearchCollaborationMentoringPublic Speaking

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odds of building a lasting career here

40Risky
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

1 transfer filing in the last year, covering 1 worker. 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

  • Internal Job Title: Discovery Postdoctoral Fellow Position Location: San Diego, CA, onsite #LI-Onsite This position is not eligible for visa sponsorship.
  • This is a full-time training position of up to three years in duration.
  • The start date for the 2026 Novartis BR Postdoctoral Fellowship Program cohort is October 1, 2026.

Responsibilities

  • Develop and integrate scientific AI agents into the enterprise agent platform.
  • Adapt and operationalize domain-specific AI agents, workflows, and knowledge assets to support biomarker discovery, translational research, human genetics, and multi-omics analysis.
  • Drive novel translational medicine use cases.
  • Identify, develop, and evaluate high-impact applications of multi-agent AI systems across translational medicine, leveraging diverse biomedical data sources to address scientific and clinical research questions.
  • Collaborate with platform and engineering teams to integrate scientific agents within existing enterprise frameworks, ensuring interoperability, scalability, and compliance with organizational standards.
  • Collaborate with cross-functional stakeholders.
  • Partner with scientists, data scientists, engineers, and platform teams to translate research needs into reusable AI-enabled workflows and scientific applications.
  • Develop benchmarks, validation approaches, and best practices to assess scientific utility, reliability, and responsible deployment of AI agents in drug discovery and development.
  • Familiarity with complex biomedical data modalities (e.g., human genetics, multi-omics, clinical trial data, or biomedical literature) and an interest in developing AI-driven solutions within regulated research environments.
  • This position is not eligible for visa sponsorship. (this is for US Job Post only) Please note that relocation support is not available for this position.

Requirements

  • Essential Requirements PhD (or equivalent doctoral degree) in a relevant scientific discipline completed prior to the fellowship start date.

Compensation

  • The starting salary for this position is 87,000 USD per year (this is for Job Post US only).

Benefits

  • Compensation & Benefits The starting salary for this position is 87,000 USD per year (this is for Job Post US only).
  • US-based employees are eligible for a comprehensive benefits package including health, life, and disability coverage, a 401(k) plan with company contribution, and a generous time-off package.
  • Learning together.

Equal opportunity

  • EEO Statement: The Novartis Group of Companies are Equal Opportunity Employers.
  • Accessibility and reasonable accommodations The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities.
  • EEO Statement: The Novartis Group of Companies are
  • Equal Opportunity Employers.

Visa & Work Authorization

  • Internal Job Title: Discovery Postdoctoral Fellow Position Location: San Diego, CA, onsite #LI-Onsite This position is not eligible for visa sponsorship.
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This listing is sourced directly from Novartis's careers page and normalized into a canonical job model.