The Goodman Lab for Synthetic Immunology is a new research group at The University of Pennsylvania. We are seeking highly motivated and enthusiastic candidates especially interested in synthetic biology, cell therapy, and immunoengineering to join our founding team. Our lab’s focus is on high-throughput genetic manipulation and measurement of primary immune cell populations, with the ultimate goal of improving cellular immunotherapies for cancer and other diseases. Under the direction of Dr. Daniel Goodman, the specialist will apply cutting-edge approaches to achieve these goals. The selected candidate will help to set up lab protocols, processes, and equipment, and then will perform a variety of experimental techniques such as molecular cloning, cell culture (cell lines and primary cells), flow cytometry, and preparation of DNA libraries for high throughput sequencing. Successful candidates will have a strong background in immunology and molecular biology, be highly motivated, and have excellent organizational skills. They will receive detailed technical training from Dr. Goodman and will execute cellular assays to collect, analyze, and compile data in support of our research. This position provides an excellent opportunity for individuals considering graduate or medical school and offers extensive hands-on experience in biomedical research at the forefront of in-demand fields like cell therapy and immunoengineering. Mentorship & Career Development Note: The Goodman Lab is committed to fostering career development in a supportive research environment. Dr. Goodman’s prior trainees have gone on to succeed in PhD and MD programs, join and found biotechnology startups, and pursue academic careers. Our lab culture is built on shared scientific curiosity, a mission to advance medicine through immunology, and building an environment where team members support one another while pursuing scientific excellence in a dynamic and welcoming research community Position is contingent upon continued grant funding.
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Job Type
Full-time
Career Level
Entry Level