"Staff AI/ML Engineer – Sequence Learning"

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. Models operating directly on sequence data that can infer how variants alter protein/RNA abundance, structure and function have the potential to be transformative in drug discovery, empowering us to find new life saving medicines.

We are looking for a Staff AI/ML Engineer to help us make this vision a reality. Competitive candidates will have a track record in developing SOTA deep learning models for solving challenging real world scientific problems. You should be an outstanding scientist with in-depth knowledge in modern machine learning. You can convert vaguely described biological/drug discovery challenges into well-defined machine learning problem. You can independently execute and deliver full AI/ML driven solution from sourcing training data, design and implementing SOTA machine learning models, testing, benchmark and product driven research for model performance improvement, to shipping stable, tested, performant code and services in an agile environment.

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.

Basic Qualifications:

• 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. Candidates with graduate studies in CS and biological sciences or equivalent work history will be highly competitive.
• Highly experienced in developing deep learning models.
• An outstanding scientist, machine learning engineer, and software engineer. Demonstrate expertise and depth in at least one area and breadth across your expertise.
• Proficiency with standard deep learning algorithms and model architectures.
• Familiarity with current deep learning literature and math of machine learning.
• In depth knowledge in machine learning best practices, scalable training and deployment, model introspection and evaluation.
• Advanced level in PyTorch, Tensorflow, or other deep learning frameworks.
• Track record as an independent contributor capable of end-to-end development of ML-powered products for genomics
• 3+ years experience of professional software development practices: code standards, code review, version control, CI/CD, testing, documentation, Agile, with the ability to mentor others in these practices
• 2+ years experience in a technical lead position

Preferred Qualifications:

• PhD in Machine Learning.
• Knowledge in disease biology, molecular biology and biochemistry.
• Experience with biological data (e.g., genomics, transcriptomics, epigenomics, proteomics).
• Peer reviewed publications in major AI conferences.
• Experience in design, development and deployment of commercial AI/ML software.
• Track record of contributing to open source projects.
• Mentality of commit early and often, metrics before models, and shipping high quality production code.
• Experience with large language models

#LI-GSK

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Why Us?

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 organization where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to positively impact the health of 2.5 billion people by the end of 2030.

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 workplace where everyone can feel a sense of belonging and thrive as set out in our Equal and Inclusive Treatment of Employees policy. We’re committed to being more proactive at all levels so that our workforce reflects the communities we work and hire in, and our GSK leadership reflects our GSK workforce.

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