AddressNLP Engineer
Cambridge, UK
Competitive Salary and Benefits
Close date: 18th June 2024
Do you have expertise in, and passion for, NLP? Would you like to apply your expertise to impact a company that follows the science and turns ideas into life changing medicines? If so, AstraZeneca might be the one for you!
ABOUT ASTRAZENECA
AstraZeneca is a global, innovation-driven BioPharmaceutical business that focuses on the discovery, development and commercialisation of prescription medicines for some of the world’s most serious disease. But we’re more than one of the world’s leading pharmaceutical companies.
At AstraZeneca we’re dedicated to being a Great Place to Work. Where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit. There’s no better place to make a difference to medicine, patients and society. An inclusive culture that champions diversity and collaboration. Always committed to lifelong learning, growth and development.
ABOUT OUR DATA SCIENCE & ENGINEERING TEAM
A place to do important work. We connect across the whole business to power each function to better influence patient outcomes and improve their lives. Impactful and valuable, this is where you come to raise your profile
and do good for others. Play an increasingly crucial role in driving pioneering transformation on our journey to becoming a digital and data-led enterprise. Ignite the power of our latest innovations in data, machine learning and technology to turn sophisticated information into life-changing and practical insights. Work in alignment with leading experts in our specialist communities. Here we bring the brightest minds to bear, with access to brand new techniques and the opportunity to be part of novel solutions. It’s up to us to drive the outcomes forward, inventing and building, expanding our knowledge to identify the next opportunity. An inclusive team, we bring together diverse areas – different functions as well as external partners. Pooling from an unrivalled source of knowledge, we share, learn and challenge. It powers us to decode business needs and apply our technical know-how to add greater value. Rise to the challenge of shaping the future of an evolving business in the technology space.
ABOUT THE ROLE?
We are looking for a Natural Language Processing Engineer/Data Scientist to take on some of the most challenging problems in natural language processing and large scale search applications. You will help create intelligent applications powered by knowledge graphs, embeddings and machine learning. You will be part of a close-knit and deeply technical team of data scientists, machine learning and knowledge engineers, creating tools that will advance the standard of healthcare improving the lives of millions of patients across the globe. Your work will advance our ontologies and natural language understanding tooling to collect vast quantities of biological, medical, chemical, and pharmacological knowledge.
The ideal candidate should possess a blend of theoretical and practical skills in building quality applications related to NLP and machine learning in a scientific environment.
Essential Requirements
• Experience specialising in NLP and deep learning
• Strong coding and software engineering skills in Python
• Experience in solving NLP problems, such as Search, NER, language generation, classification using the latest SOTA deep learning models and frameworks (hugginface, bert, pytorch, spacy)
• Experience building large scale data processing pipelines
• Working knowledge of cloud environment (AWS preferred), Hadoop/Spark/Ray
• Ability to explain complex methods and techniques to a non-technical audience
• Good Ci/CD experience, such as k8s management
• Good communication, written and verbal skills, fluent English
Good to have:
• Masters / PhD in Machine Learning, Computer Science, Mathematics or similar field
• Leadership experience
• Influencing and innovation skills
• Skills in Java/Scala
• Deep technical skills in knowledge representation, reasoning, knowledge graphs
• Experience in Search technologies such as ElasticSearch
WHY JOIN IT?
We’re a network of entrepreneurial self-starters who contribute to something far bigger. There’s a diversity of expertise in our Technology group that’s unique to AstraZeneca – it allows us to dive deep into exploring new leading-edge technology. We enable AstraZeneca to perform at its peak by delivering world-class technology and data solutions. Our work unlocks the potential of science. We optimise and evolutionise AstraZeneca by maximising efficiencies and finding new ways to drive productivity. From automation to data simplification. We’re not afraid to take ownership and run with it. Empowered with unrivalled freedom. A place to be open and transparent – we speak up, think creatively and share ideas. Our diverse contributions help us to make better decisions. But we have a constant drive to innovate, and an appreciation for high standards. It takes challenging the status quo to add value in our ever-evolving environment. We love it here because put simply, we make a meaningful impact.
Technology at AstraZeneca is a home for purposeful disruptors!
SO, WHAT’S NEXT?
Are you already imagining yourself joining our team? Good, because we’d love to hear from you! Click the link to apply and we’ll be in touch as soon as we can.
WHERE CAN I FIND OUT MORE?
Our Social Media, Follow AstraZeneca on LinkedIn https://www.linkedin.com/company/1603/
Follow AstraZeneca on Facebook https://www.facebook.com/astrazenecacareers/
Follow AstraZeneca on Instagram https://www.instagram.com/astrazeneca_careers/?hl=en
AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.
