The Laserson Lab develops high-throughput, data-intensive assays for studying the adaptive immune system. We use next-generation sequencing, large scale DNA synthesis, and protein display technologies to understand how the immune system interacts with its environment by measuring the specificities of antibodies and T cell receptors in parallel. Application areas include gut-immune interaction, personalized immunotherapy, and therapeutic antibody discovery.
# The PI
Uri was born in Tel Aviv and grew up in Miami before studying Math and Biology during college at NYU. He entered the PhD program in the Math department at MIT, after which he joined George Church’s lab at Harvard Med to train in genomics technology development. Uri developed some of the first protocols and software for next-generation sequencing of the antibody repertoire. He also collaborated with Ben Larman to help develop the PhIP-seq assay for high- throughput antigen specificity. During graduate school, Uri cofounded Good Start Genetics, one of the first diagnostics companies to bring NGS to the clinic. After earning his PhD, Uri worked at Cloudera, which builds Hadoop infrastructure for big data. During this time, he became a core member of the ADAM team developing software for scaling genomics analyses to millions of samples. In 2016, Uri joined the genetics faculty at Mt Sinai.
# The Job
You will be a founding member of the lab. Together with the PI, you will be responsible for defining your research plan and executing it. We are particularly interested in developing protein display technologies (e.g, phage, yeast, ribosome display) for use in high-throughput next-generation sequencing-based assays. Specifically, we want to measure the specificity of antibodies and TCRs against very large sets of antigens in parallel. The assays will be used for multiple applications, including understanding the interaction of the gut immune system with the microbiome, and therapteutic antibody discovery, and cancer immunotherapy. Because the lab is new, you will have the opportunity to help build out a new research lab and will also be instrumental in defining the lab culture. You can also assist in training/mentoring graduate students.
# And You Are...
We will be utilizing a broad range of cutting-edge techniques, and a willingness to learn and experiment will be crucial. You should have a PhD or equivalent experience in a life sciences field. *You should have experience with protein display technologies, such as yeast display, phage display, or ribosome display (or others), or analyzing TCR-pMHC interactions.* We expect the research program to require proficiency in a variety of experimental techniques, including sample/library prep for sequencing, molecular cloning, tissue culture, antibody assays, and flow cytometry/FACS. In addition, experience with any of the following would be a plus:
* genome editing techniques (e.g., CRISPR)
* synthetic DNA constructs and large oligonucleotide pools
* droplet microfluidics
* single cell methods
* microbiome techniques
# About Mount Sinai
At the Icahn Institute and Department of Genetics and Genomic Sciences at Mount Sinai, our research and clinical teams work together to translate research insights to improve patient diagnostics and treatment. The Icahn Institute was founded in 2011 to help advance precision medicine with cutting-edge technologies, novel partnerships between the public and private sector, and world class computational and analytical resources. The Department of Genetics and Genomic Sciences conducts basic research, trains fellows, and educates the next generation of doctors and genetic counselors. We are the home of Mount Sinai’s state-of-the-art genetic testing lab and medical genetics clinic.
# Some details
Job title: Postdoctoral Fellow
Location: Mount Sinai campus at 98th St. and Madison Ave.
Benefits: full benefits, including health, dental, vision, etc. Subsidized
# How to apply
Send an email to the PI introducing yourself and what kind of work you're
More information at [lasersonlab.org](http://lasersonlab.org/).
See job description.