onsite
Senior Machine Learning Scientist - Drug Discovery Analytics
ML Engineer
Lead advanced machine learning initiatives to accelerate drug discovery, leveraging ADMETox and cheminformatics expertise on cloud platforms to deliver actionable insights through robust data analysis and visualization.
About the role
Key Responsibilities
- Design, develop, and deploy predictive models for ADMETox properties using state‑of‑the‑art machine learning techniques.
- Collaborate with medicinal chemists and computational scientists to integrate cheminformatics workflows into cloud‑based pipelines.
- Perform large‑scale data analysis, feature engineering, and model validation on high‑performance computing resources.
- Create interactive visualizations and dashboards to communicate model performance and insights to cross‑functional teams.
- Document methodologies, maintain reproducible codebases, and contribute to open‑source projects where applicable.
Requirements
- PhD or Master’s in Computational Chemistry, Bioinformatics, or related field with 5+ years of industry experience.
- Proficiency in Python, scikit‑learn, TensorFlow/PyTorch, and cheminformatics libraries (RDKit, Open Babel).
- Hands‑on experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
- Strong statistical background and expertise in model interpretability and uncertainty quantification.
- Excellent communication skills and a track record of publishing in peer‑reviewed journals.
Skills
machine learningdata analysis