Senior Expert Data Science, AI Methods
Core
Develop advanced machine learning models and AI methodologies to solve complex biomedical research and drug discovery challenges, translating research needs into scalable solutions.
Role type
Senior IC machine learning engineer (biomedical/drug discovery)
Builds
Production ML models and AI-driven research pipelines for therapeutic discovery
Domain
Biopharmaceuticals / Drug Discovery
Deliverable
production ML models
Required skills
Deep learning methods, representation learning, generative modeling, Python, distributed computing, large-scale model training, foundation model adaptation
Preferred skills
Drug discovery domain knowledge (target identification, protein modeling), publications or patents in machine learning
Technologies
Python, modern deep learning frameworks
Responsibilities
Develop advanced ML models for biomedical research, design innovative AI methodologies, collaborate with scientists to translate needs into scalable solutions, evaluate emerging AI techniques, build and optimize high-performance algorithms, drive adoption of AI solutions, translate model outputs into scientific hypotheses, define and track performance metrics, lead cross-functional collaborations
Seniority
Senior, hands-on IC
