Assistant/Associate/Full Professor – AI & Computational Biology

About the role

The Institute for Systems Biology seeks a highly motivated faculty member at the Assistant, Associate, or Full Professor level to lead transformative research in AI, machine learning, and computational biology, bridging basic science and next‑generation medicine.

Key responsibilities

• Establish and maintain an independent research program in applied mathematics, statistics, computer science or data science focused on fundamental biological processes and human health.
• Pioneer innovative computational frameworks to integrate multimodal biological and clinical data such as genomics, proteomics, phenomics, imaging and single‑cell omics.
• Develop methods that combine data‑driven and knowledge‑based approaches for mechanism discovery and clinical decision support.
• Collaborate with internal and external partners to translate computational discoveries into real‑world healthcare applications.
• Secure external funding from federal agencies, foundations and other sources.
• Mentor graduate students, postdoctoral fellows and undergraduate researchers.

Required profile

• Ph.D. or equivalent in a relevant field with a strong publication record and potential to conduct independent, transformative research.
• Compelling research vision that bridges computational innovation with translational applications.
• Proven ability to obtain external research funding and a clear mentoring plan for trainees.

Required skills

• Computational biology
• Statistics and applied mathematics
• Machine learning / AI
• Data science and advanced analytics
• Genomics, proteomics, transcriptomics, metagenomics, imaging, single‑cell omics