Senior/Principal Machine Learning Scientist, Perturbation Biology, AI Biology & Translation (AIBT)
Core
Develop next-generation machine learning models to derive actionable insights from large-scale high-content perturbation experiments for target and drug discovery.
Role type
Senior/Principal Machine Learning Scientist (Perturbation Biology)
Builds
Predictive machine learning algorithms for lab-in-the-loop perturbation screens
Domain
Biopharmaceutical R&D / Computational Biology / Drug Discovery
Deliverable
production ML models
Required skills
Python, PyTorch, JAX, Tensorflow, statistics, probabilistic modeling, data analysis, scientific programming
Preferred skills
predictive modeling of perturbation datasets, generative modeling on molecules, multimodal data integration
Technologies
PyTorch, JAX, Tensorflow
Responsibilities
Design and apply predictive machine learning algorithms for lab-in-the-loop perturbation screens; Work on and integrate a variety of different data modalities such as molecular structures, omics data, images, and text; Build and scale machine learning techniques to massive datasets; Publish in top-tier machine learning venues and/or scientific journals
Seniority
Senior (0-2 years post-PhD) / Principal (2-7 years post-PhD)