Computational Virology Scientist: RNA Virus Modeling

Go VCE; Charlottesville (VA); On-site; USD 70,000 - 85,000; Full time

Job summary

The University of Virginia's Department of Biomedical Engineering seeks a Research Scientist to develop mechanistic, data-informed models of intracellular RNA virus infection in human cells. You will integrate differential-equation models with time-course data to clarify virus-host interactions and identify rate-limiting steps in the viral life cycle.

Responsibilities include calibrating and validating models, applying advanced parameter-estimation and uncertainty-quantification methods, and

Qualifications

• Master’s or Ph.D. in Applied Mathematics or related quantitative field required.
• Experience developing mechanistic differential-equation models of dynamic biological systems.
• Ability to construct and analyze intracellular RNA virus infection models; experience with parameter estimation and uncertainty quantification.
• Proficiency in MATLAB, R, or Python; strong scientific writing and publication record.
• Ability to mentor undergraduate and graduate students and collaborate across disciplines.

Responsibilities

• Develop, analyze, calibrate, and validate differential-equation-based models of the complete viral life cycle and host-cell responses.
• Integrate mathematical models with time-course, dose-response, and perturbation data.
• Apply parameter-estimation, identifiability, sensitivity-analysis, uncertainty-quantification, and model-selection methods; formulate biologically grounded model assumptions and parameterization strategies.
• Collaborate with experimental and quantitative investigators; contribute to peer-reviewed publications, scientific presentations, progress reports, grant proposals, and mentorship of trainees.
• Communicate model findings and develop new research directions in multidisciplinary teams.

Skills

Differential equations

MATLAB

Python

R

Scientific computing

Uncertainty quantification

Scientific writing

Collaboration

Education

Master’s or Ph.D. in Applied Mathematics or related quantitative field

PhD preferred

Tools

MATLAB

R

Python

Job description

The University of Virginia's Department of Biomedical Engineering seeks a Research Scientist to develop mechanistic, data-informed models of intracellular RNA virus infection in human cells. You will integrate differential-equation models with time-course data to clarify virus-host interactions and identify rate-limiting steps in the viral life cycle.

Responsibilities include calibrating and validating models, applying advanced parameter-estimation and uncertainty-quantification methods, and