Genesis Biotechnology Group

Genesis Biotechnology Group

Genesis Biotechnology Group

GBG (Genesis Biotechnology Group) pursues investment opportunities for which we can support the management team in growing and enhancing the value of the business. While every situation is unique, we focus on making investments in companies with the following characteristics:
Committed, talented and passionate leadership team;
Inherent brand equity and reputation with market, customer and product positions; and
History of stable earnings with the opportunity to grow, and to improve margins.  
Trenton, New Jersey, United States Trenton, New Jersey, United States

Company Information

Genesis Biotechnology Group™ (GBG) is a consortium of vertically integrated corporate research entities, which facilitate the overall market implementation and delivery of basic science products such as diagnostic assays and drug discovery. Through the consolidation of research activities in the fields of biotechnology, molecular biology, genome research, biochemistry, nano and biophysics, bioinformatics and computer science, we are able to cultivate research partnerships between highly productive research teams that break through the barriers of traditional disciplinary boundaries.

GBG is located in the “Einstein Alley” section of Hamilton Township, NJ. The campus is easily accessible to universities, pharmaceutical companies, research institutes, and hospitals in the New York, New Jersey, and Pennsylvania area. GBG is comprised of six buildings with a total of 250,000 square foot of clinical research, medicinal chemistry and biological laboratories, office and conference areas, recreational areas, as well as manufacturing and warehouse space.

This concentration of diverse groups of scientists with experience in molecular biology, genetics, protein purification and expression, molecular modeling, high throughput screening (HTS), and medicinal chemistry, enable us to create and sustain a complex research platform in areas such as cancer drug discovery, and the design of surrogate biomarkers for chronic complex illnesses.

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