Postdoc Employee – Systems Biology – Molecular & Cell Biology

Berkeley, CAFull-timePosted Oct 12, 2026

Job description

The Staller lab resides in the Division of Genetics, Genomics, Evolution, and Development (GGED) in the Department of Molecular and Cell Biology (MCB) at the University of California, Berkeley. Max Staller is a member of the Center for Computational Biology (CCB) and a Chan Zuckerberg Bio. Hub – San Francisco Investigator.

The lab takes a genomics approach to biochemistry to study transcription factor function. Our work combines experiments, theory, computational modeling, simulations, machine learning, and evolutionary comparison. We work on yeast, human, and plant transcription factors. We are embarking on a new collaborative project to investigate how folded protein domains cause transcription factors to form filaments.

This project is funded by the HSFP. This position will investigate how transcription factor filament formation contributes to cooperative DNA binding, cooperative transcriptional activation, cooperative transcriptional repression, and other potential gene regulation. The work will have a focus on molecular biology techniques including DNA isolation, PCR, Illumina sequencing library preparation, yeast cell culture, and computational analysis of the resulting data.

The position will involve a mixture of experimental and computational work. Opportunities for experimental training, computational training, and career development will be available. Additional duties will include: -developing functional assays in yeast -performing high throughput functional screens in yeast -extensive molecular biology -cloning large plasmid libraries -designing and executing experiments -data management -data analysis -manuscript preparation -presenting research -contributing to grant proposals -mentoring students Applicants must be authorized to work in the United States at the time of hire.

Visa sponsorship is not available for this position.

Description copied from University of California, Berkeley's careers page. Read the full posting before you apply.

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