Principal Ai And Automation Strategy Lead, Statistical Programming (remote)

Vrtx

Boston, MA, United States
Base: $149,200 - $223,800; bonus/equity: eligible ...
On-site
Machine learning models and artificial intelligence
Statistical programming workflows and processes
Data engineering, ai/ml frameworks
The Principal, AI and Automation Strategy Lead will work with statistical programmers to understand data requirements and deliver state-of-the-art solutions leveraging machine learning models and artificial intelligence

Job Summary

  • The Principal, AI and Automation Strategy Lead will work with statistical programmers to understand data requirements and deliver state-of-the-art solutions leveraging machine learning models and artificial intelligence.
  • This position is responsible for identifying opportunities within statistical programming workflows to enhance operational efficiency and partnering with leadership to prioritize them.
  • The candidate should demonstrate knowledge of ethical considerations, responsible AI practices, and governance frameworks related to the development, deployment, and use of Generative AI tools.

Matching Summary

The Principal, AI and Automation Strategy Lead will work with statistical programmers to understand data requirements and deliver state-of-the-art solutions leveraging machine learning models and artificial intelligence.

Salary

Base: $149,200 - $223,800; Bonus/Equity: eligible for annual bonus and annual equity awards; Benefits: inclusive market-leading benefits

Skills & Requirements

Must-have

  • machine learning models and artificial intelligence
  • statistical programming workflows and processes
  • data engineering, AI/ML frameworks
  • Python, R, SAS, and SQL proficiency
  • LLM agents and Retrieval-Augmented Generation (RAG)
  • LLMOps and MLOps understanding
  • AWS cloud environment experience
  • Generative AI ethics and governance

Nice-to-have

  • process excellence and workflow redesign
  • product and tool development with UI/UX
  • fast-paced environment experience
  • thought leadership and continuous improvement

Key Requirements

  • Master’s degree in relevant scientific field
  • 5+ years of relevant experience
  • 3+ years in data engineering, automation, and AI
  • Familiarity with clinical or healthcare data preferred

Work Rights

Not specified

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