Novartis

Novartis

AI Scientist – AI-Driven Target Identification

Cambridge (USA)

Sponsorship not specified$104k-$192kDetected 80 days ago
PythonAlgorithmsMachine LearningDeep LearningPyTorchData ScienceData VisualizationLLMsStatisticsBioinformaticsResearchCommunicationBiostatistics

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odds of building a lasting career here

57Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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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

  • Demonstrate value of innovative AI techniques in the context of drug target identification, biomolecular interaction modeling, drug development and biomarker discovery.
  • Work with foundational models, including pre-trained, self-supervised, multi-purpose, and multi-modal models to advance generative AI applications in drug discovery.
  • The Oncology Data Science team in Biomedical Research at Novartis works at the intersection of oncology drug discovery, computational biology, AI/ML, and data engineering.

Responsibilities

  • Design, develop, and apply advanced AI/ML approaches to extract actionable insights from pre-clinical, clinical and real-world evidence datasets.
  • Collaborate with cross-functional teams to develop and adopt best practices for ML-ready data.
  • Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture
  • We strive to create an inclusive workplace that cultivates bold innovation through collaboration and empowers our people to unleash their full potential.

Requirements

  • Practical experience across ML and LLM software stack, including feature engineering, model development, deployment, and validation.
  • Prior experience working with omics data and familiarity with oncology drug development.
  • Excellent communication skills, with the ability to communicate complex data insights and recommendations to cross-functional teams and stakeholders.

Compensation

  • US: 103,600.00
  • 192,400.00 USD Annual
  • $103,600.00 - $192,400.00

Benefits

  • Benefits and compensation may vary by country and are subject to local legal requirements, including provisions of collective bargaining agreements where applicable.
  • Read our handbook to learn about all the ways we'll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards

Company info

  • Job Description Summary
  • Cambridge or Basel
  • Relocation is offered for this role.
  • We are seeking an enthusiastic AI/ML scientist with strong curiosity for AI-driven drug discovery to join the AI & Innovation team.
  • This role will apply advanced AI approaches to generate insights from complex multi-modal datasets and advance our target and biomarker discovery efforts.

Equal opportunity

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

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