Director/Senior Director of Statistical Science - Statistical Innovation

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Principal Computer Vision Engineer

Do you have expertise in, and passion for AI ? Would you like to apply your expertise to impact the EDAIS team in a company that follows the science and turns ideas into life changing medicines? Then AstraZeneca might be the one for you!

Disrupt an industry and change lives

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

Working in Technology here means you’ll be a self-starter who is comfortable stepping up and taking ownership, willing to constantly explore and challenge the status quo. You’ll be empowered to orchestrate new possibilities, solve challenges and continuously innovate. Here you’ll join hackathons, work with large data and challenge yourself to push new boundaries.

We impact patients lives. Empowering and enabling the business to run faster and better, we play a part in improving lives across the world!

What you´ll do

The ideal candidate will have industry experience developing and applying Machine Learning and computer vision 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 data at scale.

The position will involve taking these skills and applying them to some of the most exciting data & prediction problems in the pharmaceutical industry. You will work as 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.

Our team empowers scientists and data scientist all the way from early research to manufacturing to be successful with some of our hardest ML engineer challenges. You will act as a catalyst for the adoption of the latest advances in Artificial Intelligence and Data Science.

You will work closely with scientists & product teams and learn to deliver DL solutions at scale within the AstraZeneca tech stack, whilst encouraging best practices for DL across the company.

We are looking for deep learning engineers 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 complex systems, you will be responsible for inventing how we use technology, Deep Learning and data to enable the productivity of AstraZeneca.

You will help envision, build, deploy and develop our next generation of analytical engines at scale.

Key Accountabilities

• Investigate innovative machine learning, artificial intelligence and statistical techniques for health data challenges.
• Collaborate with scientists and other machine learning engineers and data scientists to translate medical problems into machine learning problems.
• Design and implement machine learning pipelines.
• Design, implement and evaluate machine learning models solve problems we face across business area from R&D to manufacturing
• Deploying machine learning solutions into production.
• Optimizing solutions for performance and scalability.
• Explain analyses and machine learning solutions to technical audiences.
• Liaise with other teams to enhance our technological stack, to enable the adoption of the latest advances in data pipelines and AI.
• Support the strategic planning of the team by providing leadership as well as mentor and support the team of engineers across multiple projects.

Essential for the role

• A PhD, in Computer Science, Mathematics, Data Science, Statistics or related subjects – or Masters in a relevant field and exceptional Machine Learning skills.
• 4+ years of experience and demonstrable deep technical skills in one or more of the following areas: classical machine learning, recommendation systems, natural language processing or computer vision.
• Proficient in python and experience with DL frameworks such as PyTorch.
• Strong software development skills including topics like CI/CD, testing, branching strategies
• Lead ML project from ideation through productionisation
• 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 requirements and business cases for
• Creative, collaborative, & product focused.