Onsite Senior ML Scientist, for 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

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.