Senior ML Scientist: Drug Discovery Analytics for Oncology

Scorpion Therapeutics; California (MO); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Cheminformatics tools

Multi-omics analysis

Cloud computing

MLOps

Job summary

Scorpion Therapeutics is seeking a Senior Machine Learning Scientist to accelerate drug discovery for RAS-addicted cancers through advanced analytics and AI. You will build predictive models and collaborate with chemists and biologists to translate data into targets and lead optimization.

The role emphasizes handling heterogeneous datasets, deploying models within discovery workflows, and applying state-of-the-art ML to oncology research.

Qualifications

• PhD required in computational biology, chemistry, or related field.
• 6–10 years applying machine learning to scientific data.
• Expertise in Python, ML frameworks (PyTorch, TensorFlow), data visualization.

Responsibilities

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

Skills

Python

ML frameworks (PyTorch, TensorFlow)

Data visualization

Noisy datasets experience

Education

PhD in computational biology, chemistry, or related field

Tools

PyTorch

TensorFlow

Job description

Scorpion Therapeutics is seeking a Senior Machine Learning Scientist to accelerate drug discovery for RAS-addicted cancers through advanced analytics and AI. You will build predictive models and collaborate with chemists and biologists to translate data into targets and lead optimization.

The role emphasizes handling heterogeneous datasets, deploying models within discovery workflows, and applying state-of-the-art ML to oncology research.