As part of the digitalisation of early research at Novo Nordisk we are looking for a candidate with a background in computational science and natural language processing (NLP) 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 and area
You will join 14 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.
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.
Development of algorithms for information extraction
We are looking for a highly motived person preferable with a PhD in Computer Science, AI, Computational Linguistics, Applied Mathematics, Physics or similar. Further we expect you to have the skills and expertise listed below:
Profound knowledge of Deep Learning methods applied to NLP
Title and conditions are evaluated based on the individual experience and contribution.
For further information, please contact Solmaz Gabery Adams by email at SOZG@novonordisk.com or by mobile: +45 3075 8740.
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.
Novo Nordisk A/S is a Danish multinational pharmaceutical company headquartered in Bagsværd, Denmark, with production facilities in eight countries, and affiliates or offices in five countries.
Plainsboro Township, NJ, USA