AI/ML Engineer - Medical Imaging

At GSK we see a world in which advanced applications of Machine Learning and AI will allow us to develop transformational medicines using the power of genetics, functional genomics and machine learning. AI will also play a role in how we diagnose and use medicines to enable everyone to do more feel better and live longer. It is an ambitious vision that will require the development of products at the cutting edge of Machine Learning and AI.

The AI/ML Medical Imaging Team applies advances in machine learning and AI with an emphasis on deep learning to established medical imaging modalities including CT/MRI/PET that provide both anatomical and functional information used for development and discovery of novel biomarker/phenotypes and imaging endpoints in clinical trials. Our team builds products that aim to extract these insights from public and internal datasets of clinical trial imaging data.

This is an exciting opportunity at the intersection of medical image analysis and computer vision.

We're looking for a highly skilled AI/ML Engineer to join our team. As an AI/ML Engineer in this role, you will:

• Carry out product-driven research on novel machine learning methods to medical imaging data.
• Leverage internal high performance computing system to train and productionize our models at scale.
• Work closely with domain experts on cross-disciplinary teams to generate actionable insights that impact phenotype, biomarker and clinical endpoint development.
• Contribute to our developing codebase with well-tested, production-ready code.

Competitive candidates will have in-depth knowledge of machine learning with a track record of developing machine learning and especially deep learning models for solving challenging real world scientific problems. They should be comfortable with writing quality, well-documented, and well-tested code in the AI/ML space and operate in an agile environment.

Basic Qualifications:

• PhD in computer science, engineering, math or biological sciences.
• Familiarity with current deep learning literature and math of machine learning
• Experience in software engineering with advanced skills and expertise in best practices for Pythonic programming, for example refactoring code for efficiency and modularization in PyTorch.
• Developing, troubleshooting, and validating deep learning models for diverse computer vision tasks (e.g., segmentation, recognition, classification, domain adaptation) using PyTorch.
• Experience in one or more open-source computer vision libraries such as Pillow, scikit-image, and OpenCV.

Preferred Qualifications:

If you have the following characteristics, it would be a plus:

• Experienced in working with clinical imaging data, especially osteoarthritis or respiratory imaging
• Knowledge in disease biology.
• Track record of projects or peer-reviewed publications at the intersection of computer vision and medical imaging.
• Track record of writing software in a team in industrial environments or open-source projects.
• Mentality of commit early and often, metrics before models, and shipping.

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Why GSK?

Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together - so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns - as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology).

Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves - feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.

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