Senior AI/ML Engineer – Foundation Models

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 Foundation Model Team develops foundation models from multimodal EHR, large-scale human genetic, functional genomic and single cell data.

We are looking for a Senior AI/ML Engineer to help us develop these models. 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 AIML engineer 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.
• Highly experienced/accomplished in software engineering with advanced skills in python and/or C++
• Experience with devops stacks: version control, CI/CD, containerization, etc.
• At least one peer reviewed publication.

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.

Why GSK?

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

GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale.

People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.

GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.

We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.

Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at [email protected] where you can also request a call.

Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a  Recruitment FAQ guide. Click the link where you will find answers to multiple questions we receive

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