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Machine Learning Scientist/Senior Machine Learning Scientist - Agents for Applied Small Molecule Drug - Genentech
ML Engineer
Lead the design and deployment of advanced machine learning models for small‑molecule drug discovery, leveraging Python, PyTorch, and computational chemistry to accelerate R&D pipelines.
About the role
Key Responsibilities
- Develop and optimize deep learning architectures for predicting molecular properties and activity.
- Collaborate with chemists and data scientists to curate and preprocess large-scale chemical datasets.
- Integrate ML models into end‑to‑end drug discovery workflows, ensuring reproducibility and scalability.
- Publish findings in internal reports and external scientific venues, translating technical results into actionable insights.
- Mentor junior team members and foster a culture of continuous learning and innovation.
Requirements
- PhD or equivalent experience in computational chemistry, bioinformatics, or related field.
- Proven expertise in Python, PyTorch/TensorFlow, and machine learning frameworks.
- Strong background in small‑molecule drug discovery and cheminformatics.
- Excellent communication skills and ability to work cross‑functionally.
- Experience with cloud platforms (AWS, GCP) and large‑scale data pipelines is a plus.
Skills
pythonmachine learningdeep learningpytorch