Company Overview: Terray Therapeutics is a venture-backed biotechnology company led by pioneers and long-time leaders in artificial intelligence, synthetic chemistry, automation, and nanotechnology. We’re generating chemical data purpose-built to propel drug discovery into the information age — and we’re doing it on a larger scale and faster than has ever before been possible.

Our closed loop system generates precise chemical datasets at unrivaled scale that work seamlessly with AI to systematically map biochemical interactions between small molecules and causes of disease. Iterative cycles of virtual molecular design and experimentation power AI and machine learning models, which in turn guide the next cycle of design. With a chemistry engine that measures billions of interactions daily and becomes increasingly precise with every cycle, we can answer an unprecedented array of questions — deriving insights that enable us to predictably create drugs for patients in need.

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.

• Design small molecules with in-house, high-throughput computational tools using both structural models and ligand-based data from our proprietary screening platform
• Develop strategies to assess and progress hits across multiple programs for our internal pipeline and partnered projects
• Design focus libraries to drive small molecule programs in hit-to-lead and lead optimization
• Develop and evaluate models and generative tools to design compounds with desired properties in collaboration with the machine learning team
• Communicate molecular design strategy and outcomes to teams across the company

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/Ph.D in computational, organic, or medicinal chemistry, or a related field
• Experience applying ligand-based and structure-based methods to designing small molecules for multiple drug discovery projects
• Experience working with medicinal chemists to optimize ADME and safety issues
• Experience triaging large data sets from virtual screens, DEL screens, and/or HTS
• Experience with RDKit, molecular simulation suites (Schrodinger, MOE, etc.), and docking programs (AutoDock Vina, rDock, etc.)
• Proficient in Python and the PyData stack (numpy, pandas, scipy, scikit-learn, etc.)