Senior ADME Scientist – AI-Driven Lab Automation

Novartis AG

Cambridge (MA)

Presencial

USD 90.000 - 183.000

Jornada completa

Hace 4 días
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Ventajas ofrecidas por este puesto de trabajo

Performance-based incentive
Equity awards eligibility
Comprehensive benefits (health, life,

Descripción de la vacante

Novartis is seeking a Senior Scientist I/II to support discovery and development by designing and executing in-vitro ADME assays, while building automation to deliver high-quality study data for informed decision-making.

The role involves planning and reporting ADME assays (metabolic stability, permeability), interpreting data for early discovery and compound optimization, and expanding assay capabilities with automation and AI-enabled analytics.

Formación

  • BSc or MSc with relevant experience in drug metabolism and pharmacokinetics or related field.
  • BSc: 7+ years; MSc: 4+ years of ADME/DMPK experience. Senior Scientist II level possible with additional experience.

Responsabilidades

  • Plan, execute and report ADME assays such as metabolic stability and permeability.
  • Interpret in vitro ADME data and translate findings to support early discovery and optimization.
  • Contribute to novel ADME methodologies and expand assay capabilities.
  • Advance automation strategies to expand laboratory capacity and standardize execution.
  • Execute automated, end-to-end ADME assay workflows integrated with AI-enabled analytics.
  • Develop methods to support bio-analysis using LCMS-MS, HRMS, and ICP-MS techniques.
  • Troubleshoot lab instrumentation and automation platforms.
  • Manage study timelines, objectives and budgets; communicate data and results to teams.

Conocimientos

Fluent English
Organizational skills
Project management
Cross-functional teamwork

Educación

BSc
MSc

Herramientas

LCMS-MS
HRMS
ICP-MS
Laboratory automation software

Descripción del empleo

Novartis is seeking a Senior Scientist I/II to support discovery and development by designing and executing in-vitro ADME assays, while building automation to deliver high-quality study data for informed decision-making.

The role involves planning and reporting ADME assays (metabolic stability, permeability), interpreting data for early discovery and compound optimization, and expanding assay capabilities with automation and AI-enabled analytics.

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