Director, Integrative Sciences

GlaxoSmithKline

Cambridge, MA, USA
Base: $189,750 to $316,250; bonus/equity: annual b...
Emerging diagnostic technologies
Oncology foundational models
Ai/ml analytical approaches
This role will focus on driving innovation in diagnostic technology platforms, leveraging cutting-edge approaches such as oncology foundational models, real world data, multi-modal omics data, AI/ML, computational pathology, and biomarker discovery to transform how we understand and treat cancer

Job Summary

  • This role will focus on driving innovation in diagnostic technology platforms, leveraging cutting-edge approaches such as oncology foundational models, real world data, multi-modal omics data, AI/ML, computational pathology, and biomarker discovery to transform how we understand and treat cancer.
  • Key Responsibilities include leading innovation in emerging diagnostic technologies, developing and applying oncology foundational models and AI/ML analytical approaches to complex datasets, and serving as a subject matter expert in analytical methods and emerging diagnostic technologies.
  • Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave.

Matching Summary

This role will focus on driving innovation in diagnostic technology platforms, leveraging cutting-edge approaches such as oncology foundational models, real world data, multi-modal omics data, AI/ML, computational pathology, and biomarker discovery to transform how we understand and treat cancer.

Salary

Base: $189,750 to $316,250; Bonus/Equity: annual bonus and eligibility for long term incentive program; Benefits: health care, retirement, paid time off

Skills & Requirements

Must-have

  • emerging diagnostic technologies
  • oncology foundational models
  • AI/ML analytical approaches
  • multi-modal biomarker platforms
  • computational pathology
  • antibody-drug conjugates (ADCs)

Nice-to-have

  • leading cross-functional teams
  • strategic decision-making
  • academic partnerships
  • business development due diligence

Key Requirements

  • PhD degree or equivalent experience/training
  • 7+ years of applied experience in Pharma/Biotech or academic setting
  • Experience with emerging diagnostic platforms and technologies
  • Advanced knowledge of statistical and analytical methods
  • Experience with GitHub, R Shiny applications/R markdown
  • Working in cloud or high-performance computing (HPC) environments

Work Rights

Not specified

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