Research Associate in Chemical Engineering

University of Virginia•Charlottesville, VA

1d•$57,000 - $60,000•Onsite

About The Position

We are seeking to fill a postdoctoral associate position for a highly motivated and driven candidate in the Vecchiarello Lab as a part of an industrial collaboration project focused on protein chromatography. This is an excellent opportunity for an interested candidate to learn and practice a variety of industrially-transferrable skills including operation of chromatographic equipment (FPLC/Akta Pure, automated liquid handling systems, and HPLC/UHPLC). Further, the selected candidate will have the opportunity to grow a strong industrial and academic network by attending and presenting at conferences, and by providing regularly updates to our industrial sponsor.

Requirements

A Ph.D. in Chemical Engineering, Engineering, Chemistry, Physics, or a closely-related field by the start date.
Technical background in large biomolecules upstream (e.g. microbial fermentation, mammalian cell & virus culture) and/or downstream (e.g. harvest, filtration, chromatography, conjugation) unit operations.
Experience with scripting/programing, and/or developing and implementing microscale models process unit operations.
Demonstrated scientific ability through publications and presentation in scientific conferences.
Ability to effectively and clearly communicate researching findings, results, and analysis.
Ability to work in a team environment.
Motivated to learn new skills, willingness to take on new challenges, and scientific curiosity.

Responsibilities

Work on an industrial collaboration with a large pharmaceutical manufacturing company, focused on improving fundamental understanding of transport and adsorptive phenomena in protein chromatography.
Implement a combination of high-throughput experimentation and modeling to achieve project milestones.
Provide regular project progress updates to the company sponsor.
Learn to measure protein adsorption isotherms, protein transport parameters in chromatographic resin, design preparative and analytical chromatographic purification processes for new protein biologics, and predict chromatographic performance by leveraging existing and new mechanistic column models in Matlab®, Python®, or GoSilico® software package suites.