AI Platform Lead for Drug Discovery

Novartis AG

Basel-Stadt

Hybrid

CHF 78,000 - 146,000

Full time

4 days ago
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Benefits offered by this job

Flexible/hybrid work
Parental leave 14 weeks
Insurance plans
Retirement plans
Global recognition programs

Job summary

Novartis AG in Basel, Switzerland is seeking a Scientific AI Platform Expert to join the DAx Data Science team and build enterprise-grade AI analysis platforms and data products to accelerate drug discovery. You will lead multidisciplinary projects, operationalize generative AI solutions, and collaborate with enterprise IT.

Reporting to the Head of Data Science, DAx. The role requires a BS/MS in AI/ML with 3+ years in scientific data science, experience with multimodal data platforms, omics

Qualifications

  • BS or MS in AI/ML, data science/engineering, with 3+ years hands-on experience.
  • Production-grade multimodal data platforms for scientific analysis.
  • Experience with omics pipelines and modern ML frameworks is preferred.

Responsibilities

  • Translate AI needs into decision-enabling solutions.
  • Design, build and sustain scalable AI data products.
  • Scale AI workflows with reproducible and FAIR data practices.
  • Prioritize resources for evolving research needs.
  • Contribute to strategy, deployment and governance practices.
  • Onboard external vendors as needed.
  • Present results through documents, posters, and talks.

Skills

Python
SQL
Cloud platforms
Data engineering
Agile
Multidisciplinary collaboration

Education

BS in AI/ML
MS in AI/ML
PhD (recent)

Tools

PyTorch
Snowflake
Databricks
Palantir Foundry
AWS

Job description

Novartis AG in Basel, Switzerland is seeking a Scientific AI Platform Expert to join the DAx Data Science team and build enterprise-grade AI analysis platforms and data products to accelerate drug discovery. You will lead multidisciplinary projects, operationalize generative AI solutions, and collaborate with enterprise IT.

Reporting to the Head of Data Science, DAx. The role requires a BS/MS in AI/ML with 3+ years in scientific data science, experience with multimodal data platforms, omics

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