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 data scientist. As an integral member of the Platform Data group within the Computational and Data Sciences (CDS) team, the candidate will guide the development of the data pipelines that transform the raw data from our proprietary wet-lab screening platform (tArray) into the precise chemical datasets that power our drug discovery efforts.

The core responsibilities of this position are:

• Analyze tArray data to characterize the performance of the screening platform and provide actionable insights and recommendations.
• Work with wet-lab teams to design and analyze experiments to improve the quality and throughput of the tArray platform.
• Work with internal data consumers, such as the Molecular Design and Machine Learning groups, to understand their needs and identify data pipeline improvements to better serve these downstream workflows.

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 Statistics, Applied Mathematics, or related quantitative field
• 4+ years of experience applying statistical methods to large, real-world, scientific data
• Familiarity with biological assays and interest in learning more
• Proficiency in Python, the PyData stack (numpy, pandas, etc.), and data visualization tools
• Proficiency with the Linux environment, database languages, and version control

Compensation Details: $140,000-$216,000 for Data Scientist and up to $224,000 for Senior Data Scientist (annually) based on experience and seniority; participation in the Company's option plan; 3% retirement safe harbor contribution; fully-paid medical, dental, vision, life and disability benefits and more.