Principal/Specialist NLP Scientist

Please apply before 8th October 2024. 

The Position

As a Natural Language Processing (NLP) Scientist your role will be to drive research initiatives on cutting-edge technology. You will be working independently, managing complex matrix organisations. As part of your role, you will:

• Develop tools for relationship extraction/semantic similarities, summarization, Natural Language inference
• Train neural network models for language understanding tasks and develop and fine-tuning of language models
• Evaluate the performance of neural models and validate the accuracy of extracted knowledge
• Work closely with multimodalities, multilingual ties, and multiagent
• Support Scientific Intelligence and relevant parts of Digital Science & Innovation with knowledge enriching analysis results via natural language generation and GenAI
• Actively guide and coach NLP Scientists in both professional development and project execution.

In your role you will be working closely with relevant Digital Science & Innovation in Research and Early Development teams to translate best-performance techniques into production. Part of it will entail setting technical directions and influencing the progression of initiatives across the early research organisation.

You will be responsible for the presentation and reporting of scientific results. You will also participate in line/digital projects progression with strong NLP and knowledge graph expertise as well as 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 with project management skills and preferably with a PhD in Computer Science, AI, Computational Linguistics, Applied Mathematics, Physics or similar.

Apart from that, we expect our candidate to have:

• Good industry experience, preferably within pharma or biotech
• Strongly established experience with NLP and Machine Learning technologies
• Experience with multimodal and/or multilingual language models
• Profound knowledge of Deep Learning methods applied to NLP
• Demonstrated track record of developing and applying NLP solutions applied on large text, preferably literature data.

The person who will thrive in the role is an effective communicator who has the desire to work with dispersed teams across multiple time zones. For this role attention to detail, stakeholder management skills, and the ability to self-manage are key to succeed.

Having experience below would be considered an asset:

• Publication record in top NLP / ML venues (e.g., NeurIPS, ICML, NACL, EMNLP, NAACL, TACL, AAAI, etc.)
• R&D and Life Science experience in the following areas: low-resource NLP, explainable NLP, development of language models incl. multimodality training
• R&D experiences on knowledge representation and reasoning and/or neural symbolic reasoning (BERT, RoBERTa, and GPT-4)
• Hands-on experience on production of NLP systems.

While for the time being it is an individual contributor role, we are open to receiving applications from profiles with people management experience.

About the Department

You will join our team of 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 research scientists have seamless access to quality information sources, state-of-the-art technologies and professional information research tools supporting their needs in idea maturation, hypothesis validation, and increased disease and landscape understanding.

Scientific Intelligence is a part of a research area, Data & Knowledge Discovery (DKD), established to provide a modern data and knowledge excellence, drive external collaborations and access to emerging technologies in the digital space of drug discovery.

Data & Knowledge Discovery (DKD) is part of Digital Science & Innovation (DSI), established to drive digitalisation across R&ED. DSI participates in drug development projects across the value chain, from early discovery to pre-clinical development.

Working at Novo Nordisk

We are a proud life-science company, and life is our reason to exist. We’re inspired by life in all its forms and shapes, ups and downs, opportunities, and challenges. For employees at Novo Nordisk, life means many things – from the building blocks of life that form the basis of ground-breaking scientific research, to our rich personal lives that motivate and energise us to perform our best at work. Ultimately, life is why we’re all here - to ensure that people can lead a life independent of chronic disease.

Contact

Please submit your application via our careers site, as we do not accept directly sent resumes.

Application support

We are an equal opportunities employer, and we commit to an inclusive recruitment process and equality of opportunity for all our job applicants.  If you're a person with a disability, if you're neurodivergent, and need any adjustments to be made during the application and selection process, please send an email to AKRW@novonordisk.com.  Please include your name, the role you are interested in and the type of adjustment your need.

Deadline

Please apply before 8th October 2024. 

We encourage you to apply early as we engage with candidates on an ongoing basis.

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.