
Biotechnology • Artificial Intelligence • Pharmaceuticals
Terray Therapeutics is a company revolutionizing small molecule drug discovery through a platform that integrates wet lab science with artificial intelligence. By focusing on high-quality, large-scale data, Terray unlocks generative AI for solving complex therapeutic challenges. The company's platform accelerates the drug discovery process with an experimental dataset containing billions of target-ligand binding measurements, supported by deep learning regression models. Terray Therapeutics prioritizes immunology internally but also collaborates with pharmaceutical and biotech organizations to tackle a variety of tough targets and therapeutic areas.
11 - 50 employees
🧬 Biotechnology
🤖 Artificial Intelligence
💊 Pharmaceuticals
💰 $60M Series A on 2022-02
October 11
🏄 California – Remote
💵 $140k - $216k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor

Biotechnology • Artificial Intelligence • Pharmaceuticals
Terray Therapeutics is a company revolutionizing small molecule drug discovery through a platform that integrates wet lab science with artificial intelligence. By focusing on high-quality, large-scale data, Terray unlocks generative AI for solving complex therapeutic challenges. The company's platform accelerates the drug discovery process with an experimental dataset containing billions of target-ligand binding measurements, supported by deep learning regression models. Terray Therapeutics prioritizes immunology internally but also collaborates with pharmaceutical and biotech organizations to tackle a variety of tough targets and therapeutic areas.
11 - 50 employees
🧬 Biotechnology
🤖 Artificial Intelligence
💊 Pharmaceuticals
💰 $60M Series A on 2022-02
• Build, maintain, and improve statistical data pipelines for our computational platform • Design, develop, and deploy database schemas, software tools, and algorithms to support drug development pipelines
• BS/MS/PhD in Computer Science or related field • Highly proficient in Python and the PyData stack (numpy, pandas, scipy, scikit-learn, etc.) • Proficiency in Linux environment, experience with database languages • Familiar with AWS cloud resources and services like Batch • Experience with designing and building out database schemas • Demonstrated ability to write high-quality, production-ready code • Understanding of CI/CD and Agile software engineering practices and experience with container build and deployment systems like Docker • Knowledge of coding best practices, including standards, reviews, version control, and unit testing
• participation in the Company's option plan • 3% retirement safe harbor contribution • fully-paid medical, dental, vision, life and disability benefits
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