Member of the Technical Staff, Computer Vision Model Training
AI Summary
Develops and trains computer vision and deep learning models for perturbation-response prediction in cancer therapy research. Designs large-scale biological data experiments and oversees data infrastructure from development to lab execution.
About this role
We are seeking a top-tier AI Scientist / Engineer to join our "Mars-shot" AI startup that aims to reinvent cancer therapy. This unique role offers the opportunity to contribute to groundbreaking advancements in oncology and beyond by combining theoretical physics thinking and cutting edge deep learning methodology to generate and learn from biological data at scale.
Responsibilities
Develop novel approaches and train models for prediction of perturbation-response in a complex, high-dimensional dynamical system
Co-design data-for-models experimental campaign at scale on robotic platform
Wrangle/stand up/leverage large structured data sets and foundational models for biology from public domain
Oversee data infrastructure across pipeline from software development environment to wet lab
Requirements
In office 5 days a week
MS/PhD/Postdoc in Physics, Applied Mathematics, Computer Science, or a related field.
Expertise in classic ML and statistics, deep learning, Gaussian processes, transformers+self attention
Zeal for best practices in group development and coding to production
Past experience working with biological data a plus
Tech Stack
Python
PyTorch
TensorFlow
NumPy
Pandas
