In this role, the selected candidate will design and conduct experiments leading to the development and implementation of new or improved prokaryotic fermentation processes producing recombinant proteins.
The Sr. User Experience (UX) Researcher will lead and execute a variety of UX research programs ranging from contextual inquiry, in-depth interviews to interface evaluations and usability testing. This position will execute independently or lead a team to plan, recruit, execute, analyze and report out findings for a variety of different research activities.
Develop and deliver process models which meet the needs of r&d, engineering, and sales support. Develop yield estimating and economic analysis tools which meet the needs of engineering and sales support.
Perform complex laboratory analysis of pharmaceutical products and proficiently uses analytical instrumentation, calculates and analyzes data and records data in adherence with company SOP's and the industry.
In this role, the selected candidate will design, execute and interpret experiments/investigations in support of new and existing products; provide technical support to Quality Control, production and Marketing and write clear and concise reports.
Develop Yield Estimating and economic analysis tools which meet the needs of Engineering and Sales Support. Use your understanding of kinetics, mass transfer, and reaction engineering to make innovative contributions to UOP's technology development efforts. Develop enhanced work processes and modeling techniques.
Participates in global or regional task forces and committees. Initiates exchanges of technical information with other research, functions and support groups throughout the Corporation to meet business objectives.
This role is responsible for leading the use of data to make decisions. This includes the development and management of new machine learning predictive modeling algorithms; the codingdevelopment of tools that use machine learning/predictive modeling to make business decisions; searching for and integrating new data (both internal and external) that improves our modeling and machine learning results (and ultimately our decisions).