Terray Therapeutics is looking to solve the problem of generating chemical data to propel drug discovery into the information age
Requirements
- BS/MS/PhD in Statistics, Applied Mathematics, or related quantitative field
- 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
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
