Faculty search for the USC Center for Stem Cell Engineering

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The Department of Stem Cell Biology and Regenerative Medicine (stemcell.keck.usc.edu) at the Keck School of Medicine of USC, in partnership with the USC Stevens School of Computing and Artificial Intelligence (stevens-computing-ai.usc.edu) within the USC Viterbi School of Engineering, invites applications from outstanding faculty candidates at the level of Associate Professor or above with expertise in computational modeling of human tissues. We seek candidates who develop frameworks to understand and control complex tissue-scale dynamics, such as multicellular interactions, structural remodeling, and mechano-adaptation. We expect candidates to integrate mechanistic and data-driven approaches to bridge molecular, cellular, and tissue scales and develop predictive computational frameworks that enable fundamental biological discoveries, inform therapeutic strategies, and/or guide the design of engineered living systems. We are particularly interested in candidates with expertise in coupling cell/tissue dynamics to biophysical features relevant to the cardiovascular system, such as electromechanical coupling, inflammation, extracellular matrix remodeling, and/or fluid dynamics.

The successful candidate will be a core member of the new USC Center for Stem Cell Engineering, a joint initiative between the Department of Stem Cell Biology and Regenerative Medicine and the Alfred E. Mann Department of Biomedical Engineering (bme.usc.edu), recently announced as a joint department between USC Keck and USC Viterbi. The mission of the Center is to integrate stem cells, microphysiological systems, synthetic biology, and advanced computational frameworks to develop predictive human tissue models and accelerate the discovery and development of new therapies, including engineered tissues and gene or cell therapies. The successful candidate will play a central role in shaping and leading the computational pillar of the Center and is expected to be highly collaborative with other Center members, who collectively have broad expertise in stem cell-based systems (organoids, etc.) and associated analysis techniques, such as single-cell and spatial transcriptomics, genomics, and high-content imaging. The successful candidate will be housed in the Doheny Building at the USC Health Sciences Campus, co-localized with other Center members.

The successful candidate will also be a member of the Computational Medicine and Health Affinity Group in the USC Stevens School of Computing and Artificial Intelligence, the newly established epicenter of all computing-related activities at USC. Affinity Groups unite faculty from wide-ranging disciplines across USC that are tackling similar societal problems. Faculty in the Computational Medicine and Health Affinity Group leverage advances in computing to enable scientific discovery in the biomedical data sciences and their application to patient care and health.

Excellent resources and strong collaborative opportunities also exist with the Eli and Edythe Broad Center for Regenerative Medicine, USC Center for Advanced Computing (CARC), Zilkha Neurogenetic Institute, USC Norris Comprehensive Cancer Center, clinical departments in the Keck School of Medicine, and the Department of Quantitative and Computational Biology in the USC Dornsife College of Letters, Arts, and Sciences.

USC values diversity and is committed to equal opportunity in employment. Women and men, and members of all racial and ethnic groups are encouraged to apply.

Applications should include a letter of interest; a curriculum vitae; a brief two- to three-page statement of past, present, and future research; and contact information for four references. All materials should be submitted to https://facultypositions.usc.edu/FAS/application/position?postingId=REQ20173797 by July 31, 2026, for priority consideration. Please contact Megan McCain (mlmccain@usc.edu) with any questions.

Affiliated Departments

• Department of Stem Cell Biology and Regenerative Medicine
• Alfred E. Mann Department of Biomedical Engineering
  
  

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