Landscape-Jobs in Großbritannien

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London, United Kingdom

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18.04.2025

02.06.2025

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 organizations. As part of your role, you will:

1. Develop tools for relationship extraction/semantic similarities, summarization, and Natural Language inference.
2. Train neural network models for language understanding tasks and develop and fine-tune language models.
3. Evaluate the performance of neural models and validate the accuracy of extracted knowledge.
4. Work closely with multimodalities, multilingual ties, and multiagent systems.
5. Support Scientific Intelligence and relevant parts of Digital Science & Innovation with knowledge-enriching analysis results via natural language generation and GenAI.
6. 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 organization. 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.

We are looking for a highly motivated 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:

1. Good industry experience, preferably within pharma or biotech.
2. Strongly established experience with NLP and Machine Learning technologies.
3. Experience with multimodal and/or multilingual language models.
4. Profound knowledge of Deep Learning methods applied to NLP.
5. Demonstrated track record of developing and applying NLP solutions 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 success.

Having experience below would be considered an asset:

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

You will join our team of dedicated colleagues within the Novo Nordisk Scientific Intelligence department, which offers a centralized hub of external information as well as tools and technologies to extract data and insights to users across Novo Nordisk worldwide at headquarters and affiliates. Our purpose is to provide modern digital solutions to the organization 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 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 digitalization across R&ED. DSI participates in drug development projects across the value chain, from early discovery to pre-clinical development.

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 energize 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.