We are seeking to fill a postdoctoral Research 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.

Primary Responsibilities: The chosen candidate will work on an industrial collaboration with a large pharmaceutical manufacturing company, focused on improving fundamental understanding of transport and adsorptive phenomena in protein chromatography. The candidate will implement a combination of high-throughput experimentation and modeling to achieve project milestones. Additionally, the candidate will provide regular project progress updates to the company sponsor. Within this role, the selected candidate will 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.

Qualifications:

Minimum Education Requirements:

A Ph.D. in Chemical Engineering, Engineering, Chemistry, Physics, or a closely-related field by the start date.

Preferred Experience and Skills:

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 analysisAbility to work in a team environment.Motivated to learn new skills, willingness to take on new challenges, and scientific curiosity.

APPLICATION PROCEDURE:  Apply at https://uva.wd1.myworkdayjobs.com/UVAJobs and attach a cover letter indicating research interests, a detailed curriculum vitae, and contact information for three references. Please note that multiple documents can be uploaded in the CV box.  Make sure to upload all the documents to complete your application.

APPLICATION DEADLINE: Review of applications will begin on December 20, 2024 and the posting will remain open until filled. The University will perform background checks on all new hires prior to employment.

This is a one-year appointment that may be renewed for up to two additional one-year terms, contingent upon available funding and satisfactory performance.

For questions regarding this position, please contact Professor Nick Vecchiarello at qzv7pp@virginia.edu .

For questions regarding the application process, contact Rich Haverstrom, Academic Recruiter, at rkh6j@virginia.edu.

For more information on the benefits available to postdoctoral associates at UVA, visit postdoc.virginia.edu and hr.virginia.edu/benefits

The University of Virginia, including the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing, UVA Physician’s Group and the Claude Moore Health Sciences Library, are fundamentally committed to the diversity of our faculty and staff.  We believe diversity is excellence expressing itself through every person's perspectives and lived experiences.  We are equal opportunity and affirmative action employers. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity or expression, marital status, national or ethnic origin, political affiliation, race, religion, sex, pregnancy, sexual orientation, veteran or military status, and family medical or genetic information.