Job Description

My lab is hiring two Postdoctoral Scholars in Functional Genomics and Computational Systems Biology & Machine Learning.

Our lab is driven by a central question: How do complex biological networks make decisions—and how can we reprogram those decisions for therapeutic impact? We integrate single-cell functional genomics, transcriptomics, synthetic biology, and advanced computational modeling to study transcriptional dysregulation in disease and host–pathogen interactions.

Postdoctoral Scholar in Computational Systems Biology
This position focuses on developing mechanistic and data-driven models of cellular decision-making using large-scale single-cell transcriptomic and functional genomics datasets. The postdoc will work closely with experimental collaborators to infer gene regulatory programs, analyze multimodal single-cell data, and translate biological insight into predictive systems-level models.

Postdoctoral Scholar in Machine Learning for Biology
This role emphasizes machine-learning–based modeling of cellular systems, including building predictive models and digital twins of cells that capture state, dynamics, and responses to perturbation. The postdoc will apply deep learning, representation learning, and probabilistic modeling to high-dimensional single-cell data, bridging biological understanding with scalable computational frameworks.

Who should apply
We welcome professional applicants with a PhD in computational biology, systems biology, machine learning, bioinformatics, or related fields, strong experience in single-cell transcriptomics and ML-based analysis, and a passion for model building and interdisciplinary collaboration.

Why join the Chaturvedi Lab
• Collaborative, interdisciplinary, and supportive research environment
• Strong mentorship and opportunities for professional growth
• Competitive salary and comprehensive UC benefits
• Supportive work–life balance within a vibrant academic community

Interested? Please email your CV to sonalic@ucr.edu.

Details: https://drive.google.com/file/d/1FYzvI6DfNG87iPUF0JUircKBoU-5qRFV/view?usp=sharing