Terray Therapeutics is seeking a data scientist to guide the development of data pipelines that transform raw data from their proprietary wet-lab screening platform (tArray) into precise chemical datasets to power their drug discovery efforts.
Requirements
- 4+ years of experience applying statistical methods to large, real-world, scientific data
- 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
- Familiarity with biological assays and interest in learning more
