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reverse translation. ● Design and analyze multi-omic experiments, with a primary focus on understanding COPD disease biology from preclinical models and patient samples. ● Identify and integrate relevant
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Demonstrated proficiency with Python, and machine learning libraries; pytorch, sklearn Experience with transformer architectures, and interpretable AI methods and libraries, concept-bottleneck architectures
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Ciferri, VP of Protein Sciences, and in collaboration with the Bioconjugation and Delivery Lab led by Dr. Stephanie Monson. This group is responsible for the design and generation of new medicines
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require the ability to conceive, plan, and conduct independent research. You will have a positive, resilient, and collaborative attitude with the ability to develop novel hypotheses and drive projects. Who
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models to predict TCR-peptide/MHC (pMHC) interactions. Utilizing structural computational biology techniques to characterize and model TCR-pMHC interactions. Designing experiments to test and validate
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genomics datasets. Work closely with laboratory colleagues in the design of relevant experiments to develop and validate biological hypotheses. May also participate in method or technology development as a
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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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molecular, cellular, or cancer biology, or a related biological or biomedical science. Have solid technical and computational skills. Experience with mammalian cell lines and lentiviral vectors, -omics
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discoveries. Who You Are: Ph.D. with a proven track record of excellence in Computer Science and Machine Learning, with substantial domain experience in biology and genomics. Must have advanced at least one key
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on the primary location of California is $110,000 to $120,000. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. This position