In this role, you will be developing and validating immunoassays to support drug screening, diagnostics bioamarker discovery, pharmacokinetic-pharmacodynamic (PK-PD) modeling, and immunogenicity studies.
In this role, you will lead development of data science strategy for a leading global agriculture business with world class R&D in an environment that is rich in complex biological, environmental, operational, and business data.
The successful candidate will have an extensive background and track record in image analysis or computer vision. She/he will work closely with other imaging specialists, software engineers, and data scientists as well as plant experts in a dynamic research environment to design and implement sophisticated end-to-end solutions for image-based plant phenotyping applications.
In this role, you will develop data-driven insights & solutions with advanced analytics (machine learning, deep learning and statistical models) to extract insights from large proprietary agronomic data sources (millions of acres of farm data, terabytes of imagery and corresponding weather/soil/genetics data).
In this role, the selected candidate will perform laboratory testing, verifying results using knowledge of principles, QC, and instruments and interprets results based on physiology. Recognizes and solves problems using skills and technical knowledge.