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ICON Laboratories is a Farmingdale, NY-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
Ocugen Inc.is a biopharmaceutical company focused on discovering, developing, and commercializing gene therapies to cure blindness diseases and developing a vaccine to fight COVID-19.
Spotlight Therapeutics is a venture funded early-stage biotechnology company with a mission to develop a new class of therapeutics by enabling direct in vivo gene editing. Founded by Alex Marson (UCSF), Jacob Corn (UC Berkeley), and Patrick Hsu (Salk Institute) in December of 2017, Spotlight is building its core technology platform to achieve precise in vivo gene editing in targeted cell populations. With a therapeutic focus centered on oncology, our engineered nucleases edit the genes in targeted disease organs thereby inactivating or altering the gene product. We are hiring rapidly to build out our cutting-edge research and development team. This team is responsible for preclinical development ranging from protein engineering, gene editing to immuno-oncology and in vivo safety studies. Join us and work on the next generation of gene editing therapeutics in a fast-paced and exciting environment.
ReproSource is a Bedford, MA-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
Kiromic BioPharma, Inc. is a clinical-stage, fully integrated biotherapeutics company using our proprietary DIAMOND® artificial intelligence (AI) platform to discover and develop cell and gene therapies with a therapeutic focus on immuno-oncology and other diseases. Kiromic is in the process of developing a multi-indication allogeneic CAR-T cell therapy that exploits the natural potency of Gamma Delta T-cells to target solid cancers. From our heritage as a cancer vaccine development company, Kiromic is focused on discovering, developing, and commercializing novel immuno-oncology applications through its robust product pipeline. Our pipeline development is leveraged through the Company`s proprietary target discovery engine called "DIAMOND," where big data science meets target identification to dramatically compress the man-years and billions of drug development dollars required to develop a live drug.