Staff/senior Applied Scientist, Ai/genai & Ml Systems

Tracelinkinc

MA, United States
Base: $151,999.74 - $189,263.73 usd; bonus/equity:...
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Operational research expertise
Python coding skills
Algorithm implementation
** TraceLink is seeking a Staff/Senior Applied Scientist to develop AI/GenAI and ML systems that address complex operational challenges in the pharmaceutical supply chain. The ideal candidate will have a strong background in applied mathematics, particularly in Operational Research, and experience in coding and algorithm development. **

Job Summary

  • Build and deploy advanced AI/GenAI and ML systems grounded in applied mathematics and Operational Research.
  • Work at the intersection of optimization, inference science, NLP, and reinforcement learning, with a strong emphasis on practical delivery and measurable business outcomes.
  • Drive solution architecture, performance evaluation, and operational readiness in a high-impact, real-world optimization and decision problems environment.

Matching Summary

Match Score: 75

** TraceLink is seeking a Staff/Senior Applied Scientist to develop AI/GenAI and ML systems that address complex operational challenges in the pharmaceutical supply chain. The ideal candidate will have a strong background in applied mathematics, particularly in Operational Research, and experience in coding and algorithm development. **

Salary

Base: $151,999.74 - $189,263.73 USD; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • Operational Research expertise
  • Python coding skills
  • Algorithm implementation
  • Problem formulation
  • Applied research
  • Hands-on execution

Nice-to-have

  • Supply chain optimization experience
  • GenAI/LLM-enabled decision systems
  • Production environment shipping

Key Requirements

  • PhD or MS in Applied Math, OR, IE, CS, Statistics or equivalent
  • Python and scientific/ML tooling
  • Inference science, NLP, or Reinforcement Learning experience

Work Rights

Not specified

Tailored Resume

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