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AI Deep Learning Platform Lead

Lieu Royston, Angleterre, Royaume-Uni Job ID R-090628 Date de publication 09/16/2020

AI Deep Learning Platform Lead

At AstraZeneca, we turn ideas into life changing medicines. Working here means being results-oriented, thinking big and working together to make the impossible a reality. We’re passionate about the potential of science to address the unmet needs of patients around the world. We commit to those areas where we believe we can really change the course of medicine and bring big new insights to life.

The Team

R&D IT is a global IT capability supporting Drug Research and Drug Development. We are organised around 7 key capability areas: Business Partnering, Solution Delivery, Architecture, Application Support, Data & Analytics, Change & Operations, operating out of sites across the US, UK, Sweden, India and Mexico.

Data & Analytics provides analytics and data insight services and solutions critical to the Data & AI/ML emerging strategy and mission of R&D and AZ. D&A is organised into teams specialising in Information Architecture, Data Engineering and Data Science. You would be part of the Data Science team focusing on AI engineering (natural language processing, machine learning, deep learning and knowledge graph), Informatics, Information Science and Data Analysis).

The Role

We have an exciting opportunity for a dynamic, technical data leader to join our growing Data & Analytics team as the Deep Learning Platform Lead.

The ideal candidate will have industry experience developing and applying Machine Learning and Deep Learning solutions, e.g. developing data pre-processing pipelines, modelling, training state of the art deep neural networks (CNNs/RNNs/LSTMs/Transformers) as well as deploying inferencing pipelines to process unseen data at scale. The position will involve taking these skills and applying them to some of the most exciting data & prediction problems in drug discovery. You will work with and lead part of a global team of deeply technical data scientists, knowledge engineers & machine learning engineers and have the chance to create tools that will advance the standard of healthcare improving the lives of millions of patients across the globe.

We are looking for a Deep Learning Platform Lead capable of building robust, accurate DL-based systems and scientifically rigorous solutions that will be used across scientific units in AstraZeneca. As a strong software leader and an expert in building sophisticated systems, you will be responsible for inventing how we use technology, Deep Learning and data to enable the productivity of AstraZeneca.

What do we need from you?

  • A PhD, in Computer Science, Applied Mathematics, Artificial Intelligence, Statistics or related subjects – or Masters in a relevant discipline and exceptional Machine Learning skills.
  • Significant experience and proven deep technical skills in one or more of the following areas: machine learning, recommendation systems, pattern recognition, natural language processing or computer vision.
  • Experience with one or more DL frameworks such as Tensorflow or PyTorch.
  • Experience with scientific and machine learning libraries e.g., SciPy, Scikit-learn, NumPy.
  • Strong software development skills. Proficiency in Python preferred.
  • Experience building large scale data processing pipelines.
  • Experience with Cloud computing, Hadoop/Spark, SQL.
  • Proven experience leading a team
  • Ability to explain and present analyses and machine learning concepts to a broad audience.
  • Ability to work with loosely defined objectives and turning these into concrete machine learning problems.
  • Creative, collaborative, & product focused.

Why AstraZeneca and why IT?

At AstraZeneca, patients are at the heart of everything we do. A global company that pushes the boundaries of science, we all share a big purpose: to discover and develop life-changing medicines that save lives. In IT we make a direct impact on that purpose –enabling the entire business to perform at its peak. Combining ground breaking science with leading digital technology platforms and our own data sets. Ours is a place to innovate, take ownership and run with it –with countless opportunities to learn and grow your career. You get to craft your path, but there’s support all the way. It’s a dynamic and results-oriented environment to work in and that’s why we like it. You’re trusted to explore and to find new solutions. But most of all we respect the collective –diverse minds that move at pace and collaborate openly. Here IT has the power to innovate, redefine an industry and change lives. That’s why we’re proud to work here!

#dataAI



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 authorisation and employment eligibility verification requirements.

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