Indexing technologies have evolved dramatically in recent years as new technologies and methodologies have emerged from search engine giants like Google. These no-sql technologies yield a powerful means of searching for data with associated context and qualitative information/ knowledge. Life Sciences, Pharma and Biotech industries rely heavily upon data and are adopting similar technologies in order to integrate data and enable scientifically meaningful search results. However, applying available indexing technologies to complex life sciences data and search needs, highlights some fundamental limitations of the technologies. In this whitepaper, we highlight how Life Sciences organizations can bring the benefits of novel, no-SQL, index-based search to scientific computing applications while at the same time maintain the benefits of hyper-scalability and ease of implementation.