Tenure-Track Prof. of Computational Structural Biology

The Chronicle Of Higher Education, Inc.; Richmond (VA); On-site; USD 110,000 - 140,000; Full time

Benefits offered by this job

Comprehensive health benefits

Tuition benefits

Generous leave and retirement options

Job summary

The Chronicle Of Higher Education, Inc. invites applications for a tenure-track Assistant Professor position in computational structural biology at Virginia Commonwealth University School of Medicine's CMGM department in Richmond.

The focus is on molecular dynamics simulations and AI-enabled multiscale modeling of biosystems, with mentoring of graduate and medical students. The ideal candidate will pursue translational impact, develop collaborations, and contribute to teaching and service,

Qualifications

• Ph.D. or M.D./Ph.D. in a quantitative field with a distinguished record of research in structural biology.
• Demonstrated expertise in large-scale multi-omics data integration, with leadership in single-cell biology, spatial transcriptomics, or digital twin modeling.

Responsibilities

• Lead research using large-scale molecular dynamics simulations and AI-integrated multiscale modeling of complex biosystems.
• Bridge molecular, cellular, and systems-level modeling, contributing to whole-cell modeling and networked biology.
• Mentor trainees and teach biochemistry and biophysics at graduate and medical school levels.
• Engage in service and collaboration within the department and broader university community.

Skills

Multi-omics data integration

Leadership in emerging fields

Collaborative academic leadership

Policy and stakeholder interaction

Education

Ph.D. or M.D./Ph.D. in a quantitative field

Job description

The Chronicle Of Higher Education, Inc. invites applications for a tenure-track Assistant Professor position in computational structural biology at Virginia Commonwealth University School of Medicine's CMGM department in Richmond.

The focus is on molecular dynamics simulations and AI-enabled multiscale modeling of biosystems, with mentoring of graduate and medical students. The ideal candidate will pursue translational impact, develop collaborations, and contribute to teaching and service,