Drive and contribute to the development and deployment of next‑generation AI/ML solutions that shape the future of drug discovery
Job Summary
Drive and contribute to the development and deployment of next‑generation AI/ML solutions that shape the future of drug discovery.
Transform ideas into real‑world impact by collaborating with cutting‑edge IT and MLOps teams to bring your models into production environments.
Work side‑by‑side with experimental teams and digital technologists, integrating machine learning and AI into laboratory workflows to unlock new biological insights.
Matching Summary
Drive and contribute to the development and deployment of next‑generation AI/ML solutions that shape the future of drug discovery.
Skills & Requirements
Must-have
AI/ML for Drug Discovery
Python, PyTorch, TensorFlow, Keras
Predictive models for chemical space
Integrate ML/AI into lab workflows
Cross-functional collaboration
Nice-to-have
Cloud computing and MLOps
AI-assisted molecular design
Off-target risk prediction
Familiarity with biology/chemistry
Scientific curiosity and creativity
Key Requirements
PhD in Data Science or related field
Hands-on expertise in data science and machine learning
Experience designing deep learning architectures
Experience planning and executing scientific projects