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Boston Children’s Hospital invites applications for a Research Assistant to join the Ordovas-Montanes Lab, focusing on how inflammation drives memory formation in barrier tissues. The role involves molecular cloning, cell culture, organoid models, and single-cell RNA-sequencing, under supervision of Dr. Jose Ordovas-Montanes and Dr.
Joshua de Sousa Casal. Mentorship aims to develop an independent scientist with solid experimental design and data interpretation skills.
This Research Assistant position, will join the Ordovas-Montanes Lab, which specializes in understanding the principles of how inflammation drives memory formation in barrier tissues with the goal of developing new therapeutic avenues for human disease. The lab currently focuses on how recurrent intestinal inflammation may shape cellular interactions and inform disease development. The candidate will work under the direct supervision of Dr. Jose Ordovas-Montanes and Dr. Joshua de Sousa Casal, while being closely integrated within the community of graduate students, postdoctoral fellows, and research assistants in the lab. The core techniques learned and applied will include molecular cloning and viral vector production, cell culture and organoid models, as well as animal work and husbandry. Readouts will include flow cytometry, microscopy and single-cell RNA-sequencing. The selected individual will be mentored to become an independent scientist and properly trained in experimental design and execution, data analysis and interpretation, and the communication of results to the lab and larger community.
This position offers an opportunity to develop a wide range of fundamental skills in the biological sciences while working in an interdisciplinary environment with access to resources across Boston Children’s Hospital and Harvard Medical School. The ideal candidate seeks to understand the basic biological principles of inflammation and immunity, and is interested in pursuing further postgraduate education in a related field. The candidate will have the opportunity to learn single-cell principles and computational skills through the Cell Discovery Network.
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