Senior Scientist, Applied Machine Learning And Generative Ai, Pharma R&d

Tempus

New York, US
Base: $115,000-$175,000 usd; bonus/equity: not spe...
Applied machine learning
Generative ai
Llms
Perform complex computational analyses and develop algorithms and agent based tools to advance the Tempus platform supporting drug R&D

Job Summary

  • Perform complex computational analyses and develop algorithms and agent based tools to advance the Tempus platform supporting drug R&D.
  • Drive continual improvement of the Tempus platform for pharmaceutical R&D by championing and building new machine learning and generative AI capabilities.
  • Work with leading pharmaceutical companies, gaining proficiency in their strategies, drug modalities, and pipelines to identify where the Tempus platform can add value.

Matching Summary

Perform complex computational analyses and develop algorithms and agent based tools to advance the Tempus platform supporting drug R&D.

Salary

Base: $115,000-$175,000 USD; Bonus/Equity: Not specified; Benefits: Full range of benefits

Skills & Requirements

Must-have

  • Applied Machine Learning
  • Generative AI
  • LLMs
  • Agentic systems
  • Foundation models
  • Life sciences experience
  • Python and R proficiency

Nice-to-have

  • Integrative modeling
  • Cancer biology understanding
  • Large transcriptome data
  • Clinical trial data experience

Key Requirements

  • PhD or Masters with 3+ years experience
  • 3+ years relevant industry/post-doc experience
  • Quantitative and computational skills
  • Biological/medical/drug development knowledge
  • Experience with agentic orchestration frameworks
  • Experience with LLM-driven agent architectures
  • Experience with RAG and function calling
  • Experience with clinical trial or real-world data
  • Proven track record in peer-reviewed publications

Work Rights

Not specified

Tailored Resume

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