AI Platform Lead for Drug Discovery Data Science

Novartis Group Companies

Cambridge (MA)

Hybrid

USD 126,000 - 257,000

Full time

5 days ago
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Benefits offered by this job

Health, life & disability benefits
401(k) with company match
Annual equity awards eligibility

Job summary

Novartis Group Companies seeks a Scientific AI Platform Lead to join the DAx Data Science team in Cambridge, MA, hybrid. Lead multidisciplinary teams, operationalize AI solutions, and shape DAx AI data strategy in partnership with enterprise IT. Reports to Head of Data Science, DAx.

The role emphasizes building enterprise-grade AI analysis platforms, mentoring scientists and engineers, and collaborating with external vendors while aligning with enterprise IT and governance practices.

Qualifications

  • PhD in AI/ML or related field; equivalent practical experience.
  • 3+ years hands-on data science/engineering in biopharma or tech.
  • Experience building production-grade multimodal data platforms.
  • Proficient in Python, SQL, cloud platforms; ML frameworks (PyTorch).

Responsibilities

  • Translate scientific and operational AI needs into actionable solutions.
  • Design and maintain scalable AI pipelines and data products.
  • Scale AI workflows with FAIR data practices.
  • Mentor cross-functional teams and oversee vendors.
  • Communicate strategy and results through technical docs and presentations.

Skills

Python
SQL
Cloud platforms
Workflow orchestration
Pytorch
Agile
Communication skills

Education

PhD in AI/ML or related field

Tools

Snowflake
Databricks
Palantir Foundry
AWS

Job description

Novartis Group Companies seeks a Scientific AI Platform Lead to join the DAx Data Science team in Cambridge, MA, hybrid. Lead multidisciplinary teams, operationalize AI solutions, and shape DAx AI data strategy in partnership with enterprise IT. Reports to Head of Data Science, DAx.

The role emphasizes building enterprise-grade AI analysis platforms, mentoring scientists and engineers, and collaborating with external vendors while aligning with enterprise IT and governance practices.

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