Senior Scientist, AI & NLP Specialist

Location: Macclesfield (UK), Barcelona (Spain), Mississagua (Canada)

Salary: Competitive Salary & Flexible Benefits

Make a more meaningful impact in your career, with greater ownership and accountability to make a contribution. And in return… we’re looking for people driven by making a difference to patients and society, dedicated to doing the right thing.

Strengthen our pipeline to make a meaningful impact on patients

Be part of a dedicated Research & Development team. Fuelled by our dedication to help more patients, strengthen our pipeline, and grow our area.

At AstraZeneca, with our portfolio, our pipeline, and our people, we aim to revolutionize cancer care with our bold ambition to provide cures for cancer in every form. Our broad pipeline of next-generation medicines is focused principally in lung, breast, gastrointestinal, GU and hematological cancers. We follow the science to deliver life-changing treatments and increase the potential to save the lives of people around the world.

If you are passionate about science and data-driven decision making, explore the possibility of joining us as Senior Scientist, AI & NLP specialist to craft our oncology portfolio trials via optimal use of clinical information.

The position sits within Oncology Information Practice department a part of the Oncology Biometrics organisation. As part of a diverse global team, you will support the drug development process by providing scientific information (literature, data analytics, digital visualizations) for early-stage drug development. We also deliver information and data supporting the Oncology drug projects portfolio decisions via strategic information initiatives, applying knowledge of external environment and trends for internal information needs.

This role can be based in Macclesfield (UK), Barcelona (Spain) or Mississauga (Canada).

ABOUT THE ROLE?

You will tackle some of the most ambitious problems in natural language processing and large-scale text mining applications and apply sophisticated quantitative expertise in advanced mathematical fields to develop data science solutions. You will use foundational and ground breaking techniques to manipulate, and process structured and unstructured data, in combination with business domain knowledge, to develop and apply advanced modelling algorithms (e.g. classification, regression, clustering, NLP, graph theory and more) to generate business and scientific insights.

You will help build intelligent applications powered by knowledge graphs, embeddings and machine learning. You will be part of data scientists, machine learning and information scientists teams, creating and using 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 capture vast quantities of biological, medical, and clinical knowledge.

Our ideal candidate will possess a blend of theoretical and practical skills in applying NLP and machine learning in a scientific environment.

You will:

• Develop, implement and support modelling solutions designed to drive the interrogation of datasets for insights in scientific and business application. This includes integrating data from multiple different sources and modalities and includes the application of specialized approaches in classification, regression, clustering, NLP, graph theory and/or other techniques.

• Translate unstructured, business problems into the appropriate data problem, model and analytical solutions

• Research and develop predictive models and computational methods to guide decision-making within project parameters and established approaches.

• Present or publish findings for conferences and in peer reviewed journals.

• Build effective relationships with established range of partners to ensure utilization and value of information resources and services.

• Clearly and objectively communicate results, as well as their associated uncertainties and limitations within agreed frameworks.

• Provide data science support to cross-functional projects in order to complete defined solutions that drive value to AstraZeneca.

• Operate in a manner which meets regulatory and evidential requirements.

• Develop, maintain and apply ongoing knowledge and awareness in trends, standard methodology and new developments in analytics and data science

• Implement working practices to ensure that data science work is delivered to robust quality standards and aligned to defined governance frameworks and policies

Essential Requirements

• Bachelors or Master’s degree with proven experience in industry, Mathematics, Computer Science, Computational Linguistic, Engineering, Physics, Statistics, Economics, Computational Sciences, or a related quantitative subject area

• Experience in modern data science approaches, including unsupervised and supervised classification and regression algorithms such as k-means clustering, support vector machines, random forests, neural networks and deep learning.

• Demonstrated knowledge in advanced statistical modelling, or broader aspects of applied mathematics such as dynamical systems or optimisation.

• Understanding of algorithm design, development, optimization, scaling and applications

• Demonstrated experience in NLP

• Strong coding 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)

• Working knowledge of cloud environment (AWS preferred)

• Ability to explain complex methods and techniques to a non-technical audience

Desirable:

• Phd Degree in Mathematics, Computer Science, Computational Linguistic, Engineering, Physics, Statistics, Economics, or a related quantitative field.

• Comfortable working in high performance computing or cloud environment

• Excellent written and verbal communication, business analysis, and consultancy skills

• Deep technical skills in knowledge representation, reasoning, knowledge graphs

Why AstraZeneca?

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.

So, what’s next!

Are you already imagining yourself joining us? Good, because we can’t wait to hear from you! We welcome with your application; CV and cover letter, no later than 3 January 2023.

Where can I find out more?

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

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Date Posted

Closing Date

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.