Job Description

Job description As part of the digitalisation of early research at Novo Nordisk we are looking for a candidate with a background in information science and computational science who can bring value to the organisation by turning text to data for analysis and insights, via application of NLP and analytical methods. This is an exciting position where you will help scientists in the early research organisation to transform their decision-making from a document-centric view of finding documents and reading them, to a data-centric view of uncovering new insights by the use of natural language processing-based text mining. This will help the researchers to overcome the limitations of unstructured data and uncover previously hidden relationships. This is your chance to join forces with a competent information research department and help democratize external and internal scientific information and data. The position offers you a unique combination of science and information research. About the department You will join 15 dedicated colleagues within the Novo Nordisk Scientific Intelligence department, which offers a centralised hub of external information as well as tools and technologies to extract data and insights to users across Novo Nordisk worldwide at headquarter and affiliates. Our purpose is to provide modern digital solutions to the organisation and to ensure that researchers have seamless access to quality information sources, state of the art technologies and professional information research services supporting their needs. Scientific Intelligence is a part of a new area, Digital Research & Intelligence (DRI), established to provide a modern scientific intelligence, drive external collaborations and access to emerging technologies in the digital space of drug discovery, facilitate idea maturation, and develop an educational framework to drive our digital journey. Digital & Research Intelligence is part of Digital Science & Innovation (DSI), which was recently established to drive digitalisation across R&ED. DSI participates in drug development projects across the value chain, from early discovery to pre-clinical development. The position You will work as an NLP specialist and be a key expert within your field. By combining NLP text mining, artificial intelligence, mechanistic modelling, and knowledge graphs you will help scientists in early research to extract key information from unstructured text, rapidly and effectively, to provide decision support. You will be working with textual documents of multiple formats like scientific literature, patents, patient literature, internal safety reports, drug labels, clinical trial data, social media, electronic health records, Google slides, Electronic Lab Note-books etc. Performing cutting edge research in NLP technologies and staying current with new technology trends in the field is a major part of the role. Key responsibilities - Perform cutting edge research in Natural Language Processing technologies - Development of algorithms for information extraction, incl. Neural network models for language understanding tasks like BERT, GTP etc - Relationship extraction/semantic similarities, summarization, Natural Language inference - Evaluate the performance of neural models and validate the accuracy of extracted knowledge, and provide guidance on metrics and best practices - Support Scientific Intelligence and relevant part of Digital Science & Innovation (DSI) with knowledge enriching analysis results via natural language generation - Responsible for presentation and reporting of scientific results - Participate in line/digital projects progression with strong NLP and knowledge graph expertise - Encourage, propose and participate in projects boosting the use of advanced text mining and knowledge graphs Qualifications We are looking for a highly motived person preferable with a PhD in Computer Science, AI, Computational Linguistics, Applied Mathematics, or related fields. Further we expect you to have the skills and expertise listed below: - Profound knowledge and understanding of NLP techniques and systems - Strong Experience with Natural Language Processing and Machine Learning technologies - Demonstrated strong track record of developing and applying NLP solutions - Excellent written, verbal presentation and graphical communication skills - Effective communication skills with the desire to work with dispersed teams across multiple time zones - High degree of personal motivation and ability to self-manage Title and conditions are evaluated based on the individual experience and contribution. You will belong to a local team in GSC but will also report into a manager in Denmark. Hence, enjoying working in an international setting is crucial. Contact For further information, please get in touch with Lilian Nilsson via email [HIDDEN TEXT]. Deadline 22th of Oct, 2023 Applications will be reviewed on an ongoing basis, so we encourage you to apply as soon as possible. We commit to an inclusive recruitment process and equality of opportunity for all our job applicants. At Novo Nordisk we recognize that it is no longer good enough to aspire to be the best company in the world. We need to aspire to be the best company for the world and we know that this is only possible with talented employees with diverse perspectives, backgrounds and cultures. We are therefore committed to creating an inclusive culture that celebrates the diversity of our employees, the patients we serve and communities we operate in. Together, we\'re life changing.

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