Senior Machine Learning Scientist II, Drug Discovery Analytics

Scorpion Therapeutics; California (MO); On-site; USD 251,000 - 295,000; Full time

Benefits offered by this job

Comprehensive benefits

Job summary

Revolution Medicines in Redwood City, CA is seeking a Senior Machine Learning Scientist to advance drug discovery programs, with a focus on RAS-mutant cancers and targeted therapies. You will build predictive models for activity, selectivity, ADME/Tox, and phenotypic outcomes, collaborating with chemists and biologists.

You will integrate models into discovery pipelines, analyze complex datasets, and drive cross-disciplinary experiments.

Qualifications

• PhD in computational biology, chemistry, CS, or related field.
• 6–10 years applying machine learning to scientific data.
• Proficiency in Python, ML frameworks (PyTorch, TensorFlow), data analysis and visualization.
• Experience with noisy datasets.

Responsibilities

• Develop predictive models for compound activity, selectivity, ADME/Tox, and phenotypic outcomes.
• Analyze complex biological and chemical datasets.
• Collaborate with medicinal chemists and biologists to support target discovery and lead optimization.
• Integrate models into discovery pipelines.

Skills

Python

ML frameworks

Data analysis

Visualization

Education

PhD in computational biology/chemistry/CS

Tools

Cheminformatics tools

Multi-omics data analysis

Cloud computing

MLOps

Job description

Role: Senior Machine Learning Scientist supporting drug discovery programs at Revolution Medicines, focusing on targeted therapies for RAS-mutant cancers.

Responsibilities

• develop predictive models for compound activity, selectivity, ADME/Tox, and phenotypic outcomes;
• analyze complex biological and chemical datasets;
• collaborate with medicinal chemists and biologists to support target discovery and lead optimization;
• integrate models into discovery pipelines.

Requirements

• PhD in computational biology, chemistry, CS, or related;
• 6-10 years applying machine learning to scientific data;
• proficiency in Python, ML frameworks (PyTorch, TensorFlow), data analysis, and visualization;
• experience with noisy datasets.

Preferred

• cheminformatics tools;
• multi-omics data analysis;
• cloud computing;
• MLOps.

HighValue:

oncology (RAS pathway), drug discovery, predictive modeling, deep learning, molecular modeling, cross-disciplinary collaboration.

WorkSetup:

onsite Redwood City, CA, salary range $251K-$295K, with comprehensive benefits.