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apply cutting-edge machine learning algorithms, with focus on foundation models and LLMs/agents, to analyze complex biological data. This data includes gsingle cell genomics profiles, spatial data, and
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to the most relevant scientific problems across all stages of the pipeline. This position will be a joint mentorship between the departments of Computational Biology and Human Genetics to study the genetic
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the Sterne-Weiler Lab i n Computational Biology / Discovery Oncology and co-mentored by the Frey Lab in Prescient Design (Machine Learning for Drug Discovery). The postdoctoral position is focused
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characterization of membrane protein complexes that mediate inflammatory signaling by using a confluence of structural, biochemical, cell biological and computational tools. The candidate is expected to work
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. The successful applicant will have an opportunity to work with multiple groups with expertise spanning scientific disciplines and approaches, including oncology, single-cell biology, spatial transcriptomics, high
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at Genentech (gCS). The group develops and applies state-of-the-art ML/AI models to address open questions in genome biology, with the goal of understanding causal mechanisms of disease and facilitating drug
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The Position The Translational Medicine (TM) department at Genentech is seeking a highly motivated Postdoctoral Fellow (Bioinformatics) to lead analysis of complex biological datasets related
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transcriptomics and screening experiments. Analysis of perturbation and spatial-omics datasets Build predictive models delivering novel scientific insights. Who You Are: Ph.D.in Biology, Bioengineering, Molecular
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chemical and genetic perturbation tools coupled with high content imaging and single cell -omics to screen for regulators of disease states in complex in vitro human models Decode biological insights from
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The Position The Opportunity The Marioni group at Genentech is looking for an exceptional computational postdoc to develop and apply methods in the field of single cell biology. The successful