Troubleshoot hard to synthesize RNA constructs and devise novel process solutions to enable production; develop analytical methods to advance mRNA construct analysis and production process performance.
The candidate will be responsible for maintaining proficiency in a breadth of analytical methodologies including HPLC / UPLC, SDS - PAGE, iCE, and CE and applying these methods to a broad range of biotherapeutics for early and late stage products.
In this role, you will provides technical thought leadership in security and trustworthy solutions to the full range of UTC products and programs. Our programs involve both practical technology development as well as innovative scientific research to advance the state-of-the-art methodologies and practices.
Manage technical aspects of project and product cost against budget; reports and advises on recovery plans necessary to achieve budget targets; coordinate with team leaders and manufacturing to plan and execute transfer of products from design to production.
Collaboratively plan and execute in-depth analyses using techniques such as ellipsometry, DSC, TGA, FTIR, Raman, SEM, XPS, TOF-SIMS, AFM, high resolution spectroscopy and microscopy to characterize dimensions at the interface between assay chemistry and substrate materials.
tilizes appropriate predictive models and Science of Scale approaches to understand mechanical and physico-chemical characteristics of pharmaceutical compounds and formulations/process to drive decisions and assess drug product performance.
In this role, you will identifies, strategizes, prioritizes and manages own activities to bring agile resolution to a variety of problems of moderate scope and complexity to support company products in alignment with organizational objectives.
The position will work with a cross-functional team, delivering analytical projects related to customer engagement, segmentation, targeting, customer life time value, partnering with internal and external clients to solve important health care challenges.
Utilizes appropriate predictive models and Science of Scale approaches to understand mechanical and physico-chemical characteristics of pharmaceutical compounds and formulations/process to drive decisions and assess drug product performance.