At GSK we see a world in which advanced applications of machine learning and AI will allow us to develop novel therapies to existing diseases and to quickly respond to emerging or changing diseases with personalized drugs, driving better outcomes at reduced cost with fewer side effects. It is an ambitious vision that will require the development of products and solutions at the cutting edge of machine learning and AI. If that excites you, we'd love to chat.

The AI/ML Sequence Learning Team applies machine learning and AI methods to biological sequence (DNA, RNA, protein) data from large-scale human genetic, functional genomic and single cell experiments. The team aims to build sequence and single cell foundation model to be transformative in drug discovery, empowering us to find new life saving medicines.

We're looking for a highly accomplished AI/ML Engineer to help us make this vision a reality. Competitive candidates will have a track record of shipping high performing AI/ML powered products in production environments. They are highly accomplished Machine Learning Engineers, with breadth across Machine Learning Methods, as well as depth in at least one area. Additionally, they are accomplished software engineers with a track record of shipping stable, tested, performant code and services in an agile environment.

Strong candidates will have graduate studies in Computer Science, Applied Mathematics, or the equivalent, and a passion for solving challenging problems in Artificial Intelligence and Machine Learning. Educational or professional background in the biological sciences is a plus; passion to help therapies for new and existing diseases, and a pattern of continuous learning and development is mandatory.

The AI/ML team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we're motivated to make this a great place to work. Our leaders will be committed to your career and development from day one.

Why You?

Basic Qualifications:

We are looking for professionals with these required skills to achieve our goals:

• Graduate studies in Computer Science or Applied Math, undergraduate studies in Computer Science and relevant graduate studies in the life sciences with a focus on AI/ML techniques, or undergraduate studies in Computer Science and equivalent work history.
• Experience in software engineer with Python.
• Experience with PyTorch, Tensorflow, or other deep learning frameworks.
• Experience in ML stack.

Preferred Qualifications:

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

• PhD in computer science.
• Experience on single cell foundation model
• Experience with single cell RNA-seq and ATAC-seq data
• Understanding and application of best practices in Machine Learning
• Track record of contributing to open-source projects

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Please visit  GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees.

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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