Research Associate in Electrical & Computer Engineering

University of Virginia

2d

About The Position

The University of Virginia’s (UVA) Department of Electrical & Computer Engineering (ECE) in a joint project with the Department of Chemistry (CHEM) invites applications for a Research Associate focused on a microsystem’s integration project for bioanalytical applications. This Research Associate under the supervision of Prof. Nathan Swami (ECE) will develop microsystems for bioassays in collaboration with Prof. Jill Venton for pharmacogenomic screening of patients for eventual application of the instrumentation in physician offices.
The group of Nathan Swami is a leader in microfluidic system integration for cellular and biomolecular analysis, and the group of Jill Venton is a leader in emerging analytical tools for neuroscience. This NIH funded project leverages the strengths of these groups towards development of an automated and integrated microfluidic system for in-office testing of patients for drug compatibility based on their cytochrome P450 genome signature.

Requirements

• Candidates must have a PhD in Engineering, preferably Electrical, Mechanical or Mechatronics or related field by the start date.
• Experience in mechanical fabrication, electronic subsystems design, and systems integration is required

Nice To Haves

• Experience in bioanalytical science, microfluidics, biological sample preparation, biosensing and microsystems design (using AutoCAD or SolidWorks) is desired.
• Preferred qualifications include experience with coding (e.g., Python, C++), modeling fluid dynamics (e.g., COMSOL Multiphysics) and methods for data analytics involving large biological datasets.

Responsibilities

• Develop microsystems for bioassays in collaboration with Prof. Jill Venton for pharmacogenomic screening of patients
• Development of an automated and integrated microfluidic system for in-office testing of patients for drug compatibility based on their cytochrome P450 genome signature.

What This Job Offers

• Job Type: Full-time
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees