14 computational "https:" "https:" "https:" "https:" research jobs at University of Pennsylvania
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Temporary Employee - Non-Exempt The Course Assistant will support the Computational Medical Physics Course for the Fall Term in the Medical Physics Graduate Programs. https://www.med.upenn.edu/mpp
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role is ideal for individuals interested in biomedical data science, translational medicine, computational neuroscience, or integrative analytics in complex human studies. Position contingent upon
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, computational modeling, chemical biology, and RNA biology to investigate regulatory RNA–protein interactions involved in human and infectious disease. The preferred candidate will play a central leadership
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. Posted Job Title Research Specialist A Job Profile Title Research Specialist A Job Description Summary The Paralkar Lab (https://paralkarlab.med.upenn.edu/) in the Division of Hematology/Oncology at the
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A or B to join our multidisciplinary team. Our lab integrates cutting-edge experimental and computational approaches to uncover the molecular mechanisms that govern cell fate determination in the
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radiology, cancer biology, pathology, immunology, and computational biology to develop and lead studies leveraging patient-derived models, clinical biospecimens, molecular profiling technologies, and
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experimental techniques, such as computational protein design, molecular cloning, cell culture (cell lines and primary cells), confocal microscopy, and flow cytometry. The candidate will also
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optimization of peptide therapeutics and work closely with computational team members to support peptide discovery, design, and optimization. The candidate will perform biophysical assays and will also learn
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interpret experimental data using appropriate statistical and computational methods. Maintain accurate laboratory records, protocols, and databases in accordance with good laboratory practices. Participate
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of genetic disorders and use these to create clinically useful biomarkers. They will develop, extend and apply computational pipelines for data-analysis to patient cohorts ranging from tens of