Elsevier Life Science Solutions provides pharmaceutical and academic researchers the data they need to make decisions. Some of our customers are working on billion-dollar drug discovery projects where early and informed decisions are worth millions. Others are working on innovative projects such as repurposing existing drugs or trying to predict certain characteristics of candidate substances. All of our customers are deeply motivated to cure diseases more effectively and improve lives.Our Corporate Markets Data Platform brings together the best in engineering, scientific intelligence, data science and semantic modeling techniques to put the right tools into the hands of researchers and data scientists to enable them to invent, innovate and commercialize ideas, products and processes.We can extract and link data from multiple sources and disciplines, whether publicly available or proprietary, and make this data available to our customers. This massively linked dataset is then channelled through the right interface where it is vital in making the best decisions, successfully getting a drug to market and ensuring patient safety.Elsevier Technology Services is now seeking a Data Discovery and Enrichment Expert with a penchant for Semantic Modeling and more generally Knowledge Engineering.This is an exciting role based in India working with a highly motivated and diverse team.Role Purpose:
A core part of our project involves building large scale knowledge graphs that serve world-class applications in pharmaceutical drug discovery & development. It is an imperative that our knowledge graphs follow a representation scheme that ensures a smart and efficient exploitation of their content at scale.The position will be focusing on Implementing knowledge acquisition solutions, modeling, exploitation of semantic data management solutions and programming. In particular, the Data Discovery and Enrichment Expert will be at the forefront of the knowledge representation efforts by suggesting and implementing modeling solutions that ensure the best processing and use of the data.Responsibilities
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