Research Scientist Ii/senior, Discovery ML

Iambic Iambic · Pharma · San Diego, CA · Science

Seeking scientists to apply advanced ML techniques to drug discovery, focusing on multimodal transformer models for predicting drug-target interactions and molecular properties. Responsibilities include training, fine-tuning, and evaluating models, and collaborating with chemists and biologists to leverage ML insights.

What you'd actually do

  1. Train, fine-tune, and evaluate machine learning models, assessing how they can best be leveraged in a drug-discovery setting and optimizing their performance
  2. Partner with computational chemists, medicinal chemists and biologists to leverage ML insights for decision-making in high-throughput design-make-test-analyze cycles
  3. Generate value, internally and for partners, from our machine learning models, and collaborate with other discovery teams to shape their use
  4. Communicate results with internal drug discovery teams and machine learning scientists and externally with partners
  5. Support the evolution of our machine learning models by gathering analytical feedback and delivering domain-driven guidance to the machine learning team

Skills

Required

  • Python programming
  • statistics
  • drug discovery

Nice to have

  • PhD or equivalent degree in computational chemistry or machine learning in chemistry
  • 3+ years of experience working in a drug discovery project

What the JD emphasized

  • PhD or equivalent degree in chemistry or another physical science with 3+ years of experience or commensurate degree and job experience
  • Skills: Python programming, statistics, drug discovery

Other signals

  • multimodal transformer model
  • drug-target interactions
  • molecular properties
  • drug discovery efforts