Research Senior Scientist Ai/ml Orchestration And Operationalization

Takeaweigh

Cambridge, MA, US
Base: $137,000.00 - $215,270.00; bonus/equity: not...
Not specified (assumed on-site based on location)
Agentic ai systems
Data engineering solutions
Scalable ai platforms
Takeda is seeking a Senior Scientist in AI/ML Orchestration and Operationalization to lead the design and implementation of AI orchestration systems to enhance drug discovery processes. The role requires a strong background in AI systems, data engineering, and software architecture, with an emphasis on creating intelligent orchestration frameworks

Job Summary

  • The AI/ML organization at Takeda is building a team to transform how medicines are discovered by applying AI and machine learning across the entire drug discovery process.
  • This role combines expertise in agentic AI systems, data engineering, and software architecture to build the infrastructure that enables seamless coordination of AI capabilities across Computational Sciences and Global Research.
  • We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices.

Matching Summary

Match Score: 85

Takeda is seeking a Senior Scientist in AI/ML Orchestration and Operationalization to lead the design and implementation of AI orchestration systems to enhance drug discovery processes. The role requires a strong background in AI systems, data engineering, and software architecture, with an emphasis on creating intelligent orchestration frameworks.

Salary

Base: $137,000.00 - $215,270.00; Bonus/Equity: Not specified; Benefits: Medical, dental, vision insurance, 401(k) plan and company match, disability coverage, life insurance, tuition reimbursement, paid volunteer time off, company holidays, well-being benefits, sick time, paid vacation

Skills & Requirements

Must-have

  • Agentic AI systems
  • Data engineering solutions
  • Scalable AI platforms
  • Workflow automation
  • Distributed systems
  • Python proficiency

Nice-to-have

  • Thought leadership in AI for biology
  • Translating computational insights
  • Innovation-driven environments

Key Requirements

  • PhD with 2+ years relevant experience OR MS with 6+ years relevant experience
  • Experience with workflow orchestration frameworks
  • Familiarity with agentic AI frameworks
  • Experience with containerization
  • Strong software engineering skills

Work Rights

Not specified

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