Research Scientist Ii/senior, Discovery Machine Learning

Iambic Iambic · Pharma · San Diego, CA · Science

Research Scientist II/Senior role focused on applying advanced ML techniques, including multimodal transformer models, to drug discovery efforts. Responsibilities include training, fine-tuning, and evaluating ML models, and leveraging ML insights for decision-making in drug discovery cycles. The role collaborates with computational chemists, medicinal chemists, and biologists.

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
  • statistical analysis techniques to evaluate, troubleshoot, and adapt models in scientific contexts

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
  • predicting drug-target interactions
  • molecular properties
  • drug discovery efforts
  • high-throughput design-make-test-analyze cycles