As part of a funded collaboration with Open Targets, there are two open positions as part of a team to develop a drug side effect resource:
We are looking for two enthusiastic and talented NLP data scientists, cheminformaticians or bioinformaticians with experience in NLP and knowledge extraction to join the Open Targets Safety 2.0 project for a period of 3 years. You should enjoy delving into ways of addressing challenges in knowledge extraction and data standardisation, and want to contribute to open source code and resources.
The project will develop a new side effect resource for drug discovery based on the extraction of side effect data from a range of documents. Your role will focus on developing data extraction pipelines using NLP models and implementing modern NLP methods and technologies suitable to the extraction of safety data. The position provides a real opportunity to make a significant impact on a critical problem in drug discovery for the many users of the Open Targets Platform and an opportunity to contribute to the open source models and code associated with target safety.
This position will be situated across the Chemical Biology Services team and the Open Targets Core Team . You will work closely with other Safety 2.0 project team members to ensure effective delivery of workpackages, and collaboratively with the Chemical Biology Services team and Open Targets Core teams to ensure effective integration and longevity of pipelines and resources.
We are hiring for two positions at the same time, and so will be looking for complementary skills. For example, it could be that one of the positions is an expert in NLP as applied to biomedical problems, while the other is very familiar with chemical data and building a web interface, or has bioinformatics expertise and has built complex data workflows.
This resource will play an important role in target prioritisation, helping in the drug discovery process. Click here to apply!
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