Terray Therapeutics is looking to solve the problem of generating chemical data to propel drug discovery into the information age by developing data pipelines that transform raw data from their proprietary wet-lab screening platform into precise chemical datasets.
Requirements
- Proficiency in Python, the PyData stack (numpy, pandas, etc.), and data visualization tools
- Proficiency with the Linux environment, database languages, and version control
- Familiarity with biological assays and interest in learning more
Responsibilities
- 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.
Other
- BS/MS/PhD in Statistics, Applied Mathematics, or related quantitative field
- 4+ years of experience applying statistical methods to large, real-world, scientific data
- Participation in the Company's option plan
- 3% retirement safe harbor contribution
- Fully-paid medical, dental, vision, life and disability benefits
