Principal Scientist, Molecular Design

Position Summary: Terray is currently seeking a motivated, creative, and experienced scientist to join our molecular design group. As an integral member of the Computational and Data Sciences (CDS) team, the candidate will guide design efforts to follow up on hits and advance programs into lead optimization, leveraging our vast chemical datasets and proprietary wet-lab + computational platforms to power state-of-the-art small molecule design. In this interdisciplinary role, the candidate will work closely with the chemistry and biology functions at Terray, as well as the machine learning and data science teams within CDS.

The core responsibilities of this position are:

• Lead multiple pipeline programs through hit exploration and hit-to-lead, setting strategies for how to progress early hits and ultimately transitioning programs into lead optimization
• Manage multiple direct reports leading efforts on other pipeline projects
• Design small molecules with in-house, high-throughput computational tools using both structural models and ligand-based data from our proprietary screening platform
• Collaborate with members of the Molecular Design, Machine Learning, and Medicinal Chemistry teams to develop tools for generative design
• Communicate molecular design strategy and outcomes to teams across the company and with external partners, as applicable

Experience and Qualifications: Part of Terray’s success is nurtured by a hands-on work environment where everyone is accountable, vested in a vision of excellence, and actively taking part in the success of the business. Terray supports a positive work environment where employees can feel engaged, recognized and empowered to be creative. 

Required Qualifications: 

• BS/MS/PhD in computational, organic, or medicinal chemistry, or a related field
• 7 or more years of experience as a computational or medicinal chemist in industry
• Publications and patents that demonstrate design contributions
• Experience applying ligand-based and structure-based methods to designing small molecules for multiple drug discovery projects
• Experience managing internal and external FTE’s
• Experience triaging large data sets from virtual screens, DEL screens, and/or HTS
• Familiarity with Python and RDKit

Compensation Details: $195,000 - $294,000 (annually) depending on experience; participation in the Company's option plan; 3% retirement safe harbor contribution; fully-paid medical, dental, vision, life and disability benefits.