Senior NLP Scientist
Location: London, United Kingdom
It is permanent, full-time role
A hybrid working model with 2 days from home and 2-3 fixed days in the central London office
The Position
As a Senior Natural Language Processing (NLP) Scientist, your role will be to support scientists in early research with retrieving scientific insights from published literature and patents using NLP technologies, knowledge graphs and large language models to increase scientific understanding and to accelerate decision making.
You will have an opportunity to contribute towards cutting-edge research in information retrieval incl. Large Language Models (LLMs) and Knowledge Graph technologies and to develop algorithms for information and insights extraction.
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.
- 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 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 presentation and reporting of scientific results and 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, preferably with a PhD in Computer Science, AI, Computational Linguistics, Applied Mathematics, Physics or similar.
Apart from that, we expect our candidate to:
- Have at least a few years of industry experience, preferably within pharma or biotech
- Strong experience with Natural Language Processing 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 dat
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 in the 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: 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.
About the Department
You will join 16 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.
Deadline
Please apply before 01/07/2024.
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.
We are proud supporters of Women in Data®. Connect, engage and belong to the largest free female data community in the UK – visit: www.womenindata.co.uk to join our community.