Faculty Recruitment
CCB periodically recruits new faculty positions in strategic areas as determined by the Executive Committee in consultation with allied departments, colleges and schools. Faculty are hired into academic departments, but dedicate half of their teaching and service to CCB. When appropriate, faculty appointments are joint between two academic units.
Current Initiative Hires
- John P. Huelsenbeck, Ph.D., Professor of Integrative Biology
- Rasmus Nielsen, Ph.D., Professor of Integrative Biology and Statistics
- Yun Song, Ph.D., Professor of Electrical Engineering and Computer Science, and Statistics
- Nir Yosef, Ph.D., Assistant Professor of Electrical Engineering and Computer Science
- Priya Moorjani, Ph.D., Assistant Professor of Molecular and Cell Biology
- Nilah Ioannidis, Ph.D., Assistant Professor of Electrical Engineering and Computer Science
- Denis Titov, Ph.D., Assistant Professor of Nutritional Sciences and Toxicology
- Ashley Wolf, Ph.D., Assistant Professor of Infectious Diseases and Vaccinology
- Bronwyn Lucas, Ph.D., Assistant Professor of Molecular and Cell Biology
Employment Opportunities
Assistant Professor – AI for Biology – Electrical Engineering & Computer Sciences and Center for Computational Biology (Deadline: Nov 9, 2026 at 11:59 pm Pacific Time)
The Center for Computational Biology (CCB) and the Department of Electrical Engineering & Computer Sciences (EECS) invite applications for an Assistant Professor tenure-track position in the area of artificial intelligence (AI) for biology.
CCB and EECS are seeking applicants developing innovative AI and machine learning (ML) methods that significantly advance our understanding of complex biological systems and address high-impact problems in biology. Relevant research areas include, but are not limited to the following: AI/ML for predicting cellular phenotypes and responses to genetic, molecular, and environmental perturbations; modeling of molecular interactions, including interactions among proteins, nucleic acids, and small molecules; genotype-to-phenotype prediction across molecular, cellular, and organismal scales; AI/ML for genome and biomolecule engineering; and method development for computational genomics, including the integration of large-scale single-cell, spatial, imaging, and multimodal biological data. Across these areas, we are particularly interested in candidates who develop novel and broadly applicable AI/ML methodology for learning from complex biological data, with the potential to uncover fundamental biological principles and enable new approaches to understanding, predicting, and manipulating biological systems.
For more information about the position, including required qualifications and application materials, please visit the job listing: https://aprecruit.berkeley.edu/JPF05560.
Assistant/Associate/Full Professor - Computational Biomedicine - Center for Computational Biology (Deadline: Nov 18, 2026 at 11:59 pm Pacific Time)
The Center for Computational Biology (CCB) invites applications for two approved tenure-track positions at the Assistant Professor level and two approved open rank positions at the Assistant/Associate/Full Professor level as a part of the Bakar Computational Biomedicine Initiative (BCBI).
CCB is seeking applicants who develop novel AI, machine learning (ML), computational, and/or statistical methods for analyzing, integrating, and interpreting biological, biomedical, and clinical data. Relevant research areas include, but are not limited to the following: AI/ML-enabled immune engineering and immunotherapy; computational approaches to cancer biology and precision oncology; AI/ML-guided genome editing and therapeutic development; computational methods for therapeutic target discovery and drug development; modeling of protein-ligand interactions for therapeutic discovery and design; statistical and computational methods for analyzing biobank-scale genomic, phenotypic, and clinical data; personal genome interpretation and prediction of disease risk and complex traits; computational approaches to disease diagnosis, prognosis, and treatment response; and integration of genomic, single-cell, spatial, imaging, clinical, and other multimodal biomedical data. These positions will contribute to CDSS and the broader UC Berkeley campus by fostering interdisciplinary collaborations across BCBI, Bioengineering, Electrical Engineering & Computer Sciences, Molecular and Cell Biology, Statistics, and other related units.
For more information about the position, including required qualifications and application materials, please visit the job listing: https://aprecruit.berkeley.edu/JPF05568