Postdoctoral Scientist - Won Lab, Computational Biomedicine

Cedars-Sinai • CA, CA

2d • $62,400 - $93,600 • Onsite

About The Position

The Department of Computational Medicine (CBM) is a robust infrastructure established to develop, evaluate, and apply cutting-edge computational and statistical methods and software for the analysis of biomedical and clinical data across the Cedars-Sinai enterprise. The Won Lab uses computational and AI-driven approaches to study complex biological systems. By developing advanced tools and analyzing genome-scale datasets, including single-cell RNA sequencing and spatial transcriptomics, the lab investigates gene regulation and cell–cell interactions. Integrating multi-omics data—such as genomic, transcriptomic, proteomic, and epigenomic information—with contextual features like cell size, neighboring cells, and tissue architecture, the lab seeks to understand how cells function within and respond to their local and global environments. In this role, the Postdoctoral Scientist will be expected to work independently under the direction of Dr. Won and in close cooperation, as well as consultation, with other research staff. As a Postdoctoral Scientist, perform routine and complex laboratory procedures throughout the training period and may develop, adapt, and implement new research techniques and protocols.

Requirements

• Work independently under the direction of Dr. Won.
• Work in close cooperation and consultation with other research staff.

Responsibilities

• Designs and performs experiments.
• Keeps appropriate experimental records and documentation.
• Analyzes the results with the P.I.
• Analyzes, interprets, summarizes and compiles data.
• Operates and maintains equipment and instruments.
• May assist in the preparation of grant proposals.
• May participate in publications and presentations as author or co-author.
• Performs routine and complex laboratory procedures.
• Develops, adapts, and implements new research techniques and protocols.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed