Research Associate in Biomedical Engineering

UVA Health•Charlottesville, VA
•$62,000 - $65,000

About The Position

The Department of Biomedical Engineering at the University of Virginia seeks a Research Associate to work in the Computational Systems Biology Laboratory. The position focuses on developing computational models of human and microbial metabolism, integrating them with computational models developed by collaborators, and experimentally validating relevant predictions. The Research Associate will work with a multidisciplinary team and collaborators across multiple institutions, perform computational and theory-guided mathematical modeling, design and execute experiments, and contribute to publications. This is a one-year appointment that may be renewed contingent on available funding and satisfactory performance.

Requirements

  • Ph.D. in Biomedical Engineering or a related field.
  • Experience in bioinformatics, network modeling, numerical methods, statistical methods in research, programming for biological sciences, computation and modeling in biomedical engineering, quantitative biological reasoning, advanced topics in microbiome sciences and metabolism, and research ethics.
  • Strong oral and written communication skills.
  • Strong publication record and grant acquisition in relevant fields.
  • Ability and experience mentoring undergraduate and graduate students.

Nice To Haves

  • Ability to gather, analyze, and synthesize complex information to draw model assumptions and parameterize models.
  • Familiarity with microbiology techniques.

Responsibilities

  • Develop computational models of human and microbial metabolism.
  • Integrate models with computational models developed in collaborators’ laboratories.
  • Experimentally validate relevant model predictions.
  • Work with a multidisciplinary team and interact with collaborators across multiple institutions.
  • Perform computational and theory-guided mathematical modeling.
  • Design and execute experiments.
  • Contribute to publications.
  • Mentor undergraduate and graduate students.
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