Senior Machine Learning Research Scientist (m/f/d) - Generative AI for Drug Design
Core
Design, implement, and validate novel machine learning tools using generative AI to accelerate drug discovery and generate testable hypotheses.
Role type
Senior Machine Learning Research Scientist (Generative AI)
Builds
Novel ML tools and generative models for structure- and ligand-based drug design
Domain
Biopharmaceuticals / Computational Drug Discovery
Deliverable
production ML models
Required skills
Generative AI, self-supervised learning, deep learning, Python, scientific/structured datasets, representation learning
Preferred skills
Diffusion models, flow-matching, reinforcement learning, high-performance computing, cloud platforms, cheminformatics tools, translating research to applied solutions
Technologies
PyTorch, numpy, pandas, scikit-learn, RDKit, Docker, Kubernetes, Google Cloud Platform, AWS, SLURM
Responsibilities
Design and validate state-of-the-art ML models; apply generative frameworks to molecular design; develop predictive models for binding affinity; explore representation learning with large-scale datasets; translate research into drug discovery applications; collaborate with computational biology and chemistry experts; contribute to publications and conferences
Seniority
Senior, hands-on IC
