Senior Applied AI/ML Engineer
TetraScience- Full Time
- Senior (5 to 8 years)
Axsome Therapeutics Inc
The candidate must be currently enrolled in a PhD program in Computational Chemistry, Computational Biophysics, Computer Science, Computational Biology, or a related field, and possess experience with Python, enhanced sampling and classical molecular dynamics simulations, and deep learning frameworks such as PyTorch. A foundational understanding of protein structure and protein dynamics is also required, along with an interest in scientific machine learning applications.
The Graduate Research Intern will assist in developing and training deep learning models for protein structure prediction, working with molecular dynamics simulations and enhanced sampling techniques to validate model predictions, analyze large-scale protein structural data to identify patterns, contribute to implementing new model architectures and training strategies, and participate in model evaluation, presenting findings to the computational group and collaborating with experts in ML and computational chemistry.
Develops therapies for CNS disorders
Axsome Therapeutics develops therapies for central nervous system (CNS) disorders, focusing on conditions like major depressive disorder, treatment-resistant depression, and Alzheimer's agitation. Their main product, AXS-05, is an oral medication that works by blocking NMDA receptors in the brain, which helps regulate mood. This drug has shown positive results in clinical trials and has received special FDA status to speed up its approval process. Unlike many competitors, Axsome emphasizes addressing unmet medical needs in CNS disorders and aims to improve patient outcomes through rigorous research and development. The company's goal is to bring effective treatments to market, enhancing the quality of life for patients suffering from these conditions.