Senior Data Scientist, Computer Vision

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

Senior Data Scientist, Computer Vision

Cambridge (UK), Gothenburg (SWE ), Gaithersburg (US)

Competitive Salary and Benefits

Make a more meaningful impact to patients’ lives around the globe

Here you’ll have the opportunity to make a meaningful difference to patients’ lives. With science at its heart, this is the place where breakthroughs born in the lab become transformative medicines – for the world’s most complex diseases.

Answer unmet medical needs by pioneering the next wave of science, focusing on outcomes and shaping the patient ecosystem. With our ground-breaking pipeline, the outlook is bright.

Be proud to be part of a place that has achieved so much, yet is still moving forward. There’s no better time to join our global, growing enterprise as we lead the way for healthcare and society.

Would you like to be a part of a Data Science & Artificial Intelligence (DS&AI) group who has direct strategic impact on drug development, playing a key role in getting medicines to patients?

At AstraZeneca, we are constantly pushing the boundaries of science to deliver life-changing medicines to patients, with a real passion for discovery and a pipeline to show for it. Here, you’ll have the opportunity to make a difference in people’s lives every single day.

AstraZeneca is looking to invest in the data management and analysis platforms underlying its existing and emerging drug discovery technology, through its long-term Growth Through Innovation Strategy.

Within the new Data Science and AI Group, you will be working with colleagues to build data management and analysis foundations for the future.

The Data Science & AI team collaborates across R&D to drive innovation through data science and AI. Together we seek to:

• Improve our understanding of disease and uncovering new targets
• Transform R&D processes
• Speed the design and delivery of new medicines for patients

The AI and Analytics team within AstraZeneca’s R&D Data Science and AI group is where the great things happen in applying sophisticated algorithms and techniques to some of the hardest problems in the discovery and development of new medicines.

The team uses a blend of scientific, problem solving, and quantitative skills to develop and deliver innovative methods addressing critical problems in AstraZeneca’s R&D environment.

Our team of data scientists work right next to our other scientists, allowing them to be close to the questions that matter and work on a broad range of the most promising opportunities quickly.

As a Senior Data Scientist, Computer Vision, you will play a pivotal role in a growing team analysing various types of biomedical images and generating the insights from our complex data that brings innovative medicines to patients faster.

In this role, you will apply your expertise in computer vision, and machine learning to derive solutions to a range of problems in biomedical images.

You will develop innovative and accurate algorithms for multiple therapeutic areas (Respiratory, Cardiovascular, Renal and Metabolism) across several imaging modalities (Radiology, Pathology, Tissue Microarray, Microscopy, Mass Spec).

You will be working in a highly multidisciplinary environment with world leading clinicians, data scientists, biological experts, statisticians and IT professionals.

Examples of the problems our team is working on include analysing histological characteristics, pairing multiple modalities such as H&E microscopy and Mass Spectrometry imaging, analysing lung radiomics images, images of diabetic retinopathy in sub-Saharan Africa, single-cell fluorescence, and more!

Main Duties and Responsibilities

• Provides computer vision expertise to multi-functional AstraZeneca projects
• Delivers imaging data science solutions and appropriately communicating findings with non-technical partners.
• Identify key opportunities where machine learning can create more value from biomedical images
• Keeps up to date with emerging data science methodologies and image processing techniques
• Provides solutions to a variety of imaging analytics problems
• Works within established frameworks to deliver a variety of tasks that support projects in meeting their objectives.

Essential Requirements

• MSc degree in rigorous quantitative science (such as mathematics, computer science, engineering)
• Hands on experience with Biomedical image analysis (eg: Radiology, Pathology, Tissue Microarray, H&E, Microscopy images, etc.)
• Experience in image segmentation, registration, de-noising, and feature extraction from multiple modalities.
• Strong knowledge and experience in convolutional neural networks and deep neural network architectures
• Practical software development skills in standard data science tools (such as R or python)
• A passion to apply machine learning to tackle difficult problems

Desirable

• PhD degree in rigorous quantitative science (such as mathematics, computer science, engineering)
• Experience with clinical applications of computer vision
• Experience working in cloud environments (AWS)

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 our team? Good, because we can’t wait to hear from you.

Are you ready to bring new ideas and fresh thinking to the table? Brilliant! We have one seat available and we hope it’s yours.