Postdoc: Protein Chromatography & Process Modeling

University of Virginia

Charlottesville (VA)

On-site

USD 57,000 - 60,000

Full time

4 days ago
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Job summary

The University of Virginia, Vecchiarello Lab, seeks a postdoctoral associate for an industry-collaboration project focusing on protein chromatography. The role involves high-throughput experimentation, modeling, and regular sponsorship updates.

Opportunities to present at conferences and build an industrial-academic network are included. Responsibilities include learning chromatographic methods, adsorption measurements, and developing mechanistic models in Matlab, Python, or GoSilico to predict

Qualifications

  • Ph.D. in Chemical Engineering, Engineering, Chemistry, Physics, or a closely-related field by start date.
  • Experience with scripting/programming and developing microscale models for process unit operations.
  • Demonstrated scientific ability through publications and conference presentations.
  • Strong communication skills and ability to work in a team.
  • Motivated to learn new skills and take on challenges.

Responsibilities

  • Work on an industrial collaboration with a large pharmaceutical manufacturer to understand transport and adsorption in protein chromatography.
  • Implement high-throughput experimentation and modeling to reach project milestones.
  • Provide regular progress updates to the sponsor and participate in conference presentations.
  • Learn to measure protein adsorption isotherms and transport parameters in chromatographic resin.
  • Design preparative and analytical chromatography processes for new protein biologics and predict performance with mechanistic models in Matlab, Python, or GoSilico.

Education

Ph.D. in Chemical Engineering or closely-related field

Tools

Matlab
Python
GoSilico

Job description

The University of Virginia, Vecchiarello Lab, seeks a postdoctoral associate for an industry-collaboration project focusing on protein chromatography. The role involves high-throughput experimentation, modeling, and regular sponsorship updates.

Opportunities to present at conferences and build an industrial-academic network are included. Responsibilities include learning chromatographic methods, adsorption measurements, and developing mechanistic models in Matlab, Python, or GoSilico to predict

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