Machine Learning Scientist, Molecular Interactions

About the role

Terray Therapeutics is seeking a Machine Learning Scientist to join our team focused on extending structure informed generative models of potency to causal models of in-vivo molecular interactions. The role involves a significant amount of creative latitude, and the opportunity to directly impact real drug programs informed by large, proprietary datasets.

Responsibilities

• Experimentally realize improvements in the selectivity, generality, scope, and/or accuracy of intermolecular interactions designed with ML models over our current state of the art through novel architectures.
• Collaborate with experimentalists to integrate ML models into iterative cycles of molecular design and wet-lab experimentation.
• Develop and apply novel approaches to improve the fidelity of ML models at inference time.
• Work with a diverse team to couple ML models to deployed workflows for drug design scientists.

Requirements

• A comprehensive understanding of existing work on ML modeling of in-vivo molecular interactions, and an informed desire to pursue open avenues for further improvement.
• Mastery of modern ML model development, training at scale, and interest in developing novel approaches which can bootstrap to greater fidelity at inference time.
• Basic familiarity with modern ML operations.
• Basic familiarity with other classes of ML models implicated in Drug Design, and the ability to use these models to complete the design process.
• Ability to collaborate on a diverse team, and couple to deployed workflows for drug design scientists.

Qualifications

• Proof of relevant work, or a one-page writeup of experience applying molecular modeling to a scientific problem that is verifiable.

Skills

• Strong background in machine learning, particularly in generative models and causal inference.
• Experience with deep learning frameworks such as TensorFlow, PyTorch, or similar.
• Knowledge of molecular dynamics simulations and protein-ligand binding affinity prediction.
• Experience with natural language processing and bioinformatics tools.
• Excellent communication and collaboration skills.

Benefits

We invest heavily in benefits because taking care of our people matters. Our programs are benchmarked at the top of the Southern California market and designed to provide meaningful support across every stage of life. Benefits include participation in the Company’s stock option plan, a 3% retirement safe harbor contribution, fully paid health, dental, vision insurance for our employees, spouse, partner and families as well as above-market life insurance, disability coverage, and much more to explore during the offer process.

Pay

$147,000–$227,850 annually, depending on experience.

Schedule

Full time.