Retrosynthesis Researcher, Machine Learning

Schrdinger

New York, United States
Base: $120,000 - $145,000; bonus/equity: equity-ba...
On-site
Phd in chemistry or computational chemistry
Expertise in retrosynthesis algorithms
Proficiency in python, pytorch, tensorflow, jax
Schrödinger seeks a Retrosynthesis Researcher to apply AI tools to chemical reaction prediction and retrosynthesis

Job Summary

  • Schrödinger seeks a Retrosynthesis Researcher to apply AI tools to chemical reaction prediction and retrosynthesis.
  • The role involves developing deep learning models such as graph neural networks and transformer-based architectures for small molecule drug discovery.
  • Candidates will enjoy competitive compensation, equity, comprehensive healthcare, and over a month of paid vacation time.

Matching Summary

Schrödinger seeks a Retrosynthesis Researcher to apply AI tools to chemical reaction prediction and retrosynthesis.

Salary

Base: $120,000 - $145,000; Bonus/Equity: Equity-based compensation included; Benefits: Healthcare, dental, vision, 401k, commuter benefits, parental leave

Skills & Requirements

Must-have

  • PhD in Chemistry or Computational Chemistry
  • Expertise in retrosynthesis algorithms
  • Proficiency in Python, PyTorch, TensorFlow, JAX
  • Experience with cheminformatics tools like RDKit
  • Solid publication record in computational chemistry

Nice-to-have

  • Familiarity with chemical reaction databases
  • Knowledge of CASP tools like AiZynthFinder
  • Background in graph-based learning and transformers
  • Experience with Schrödinger Suite and LiveDesign
  • Exposure to quantum chemistry (DFT)

Key Requirements

  • PhD in Chemistry, Computational Chemistry, or Cheminformatics
  • Demonstrated expertise in retrosynthesis algorithms via publications

Work Rights

Not specified

Tailored Resume

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