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on resistance mechanisms in breast cancer, glioblastomas, colon cancer, and lung cancer. Advancing precision oncology through machine-learning models: We integrate multimodal patient data, including multiomic
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Medicine, and member of the City of Hope Comprehensive Cancer. The Perry laboratory uses structural biology approaches, together with small molecule and fragment-based drug discovery, computer-aided drug
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analysis of data from the randomized Investigator-Initiated trial (IIT) of Haystack vs. Signatera in colon cancer (IIT, Fakih, 150 patients)—to be launched in May 2026. Collection and analysis of data from
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biology, and large-scale data analysis and computational biology. For more information about Dr. Chen’s lab, please visit here. As a successful candidate, you will: Engage in a variety of advanced
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will be responsible for performing research on the cellular origins of lung adenocarcinoma. You will design and execute experiments, gather and analyze high dimensional and multiomics data using a
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. The research program embraces team science drawing from i.e., implementation science, data science, geospatial, epidemiological, and machine learning approaches to better understand broad contexts including
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, the selected candidate will advance ongoing correlative studies by analyzing immune markers of response in clinical samples. For more information about Dr. Kortylewski’s lab, please visit the Kortylewski Lab
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successful candidate, you will: · Design and perform experiments and analyze data · Regularly communicate and interact with the other team members · Submit abstracts to scientific
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and in writing. Data and project documentation and management. Willingness to teach and mentor junior trainees (Required). Be involved in grant proposal and manuscript writing and expected to pursue
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research intern in the lab · Write the research papers, protocols and organize data for grant application · Excellent communication skills, as the basis of internal or external collaboration