AI/ML Engineer – Clinical AI

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.

To help us make this future a reality, we are looking for skilled AI/ML Engineers that have a track record in developing and validating state-of-the-art machine learning models for solving challenging real-world scientific problems. AI/ML Engineers at GSK are outstanding scientists and engineers with in-depth knowledge in modern machine learning and a keen interest in making a positive impact in healthcare. You will be joining a clinical AI team focused on priority disease applications.

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.

As an AI/ML Engineer you will:

• Design and implement AI/ML-driven solutions along the entire model development life cycle.
• Research and develop state-of-the-art machine learning models, including deep learning models, to optimize model performance on a range of biomedical prediction tasks.
• Deliver robust, tested and performant code in an agile environment.
• Liaise with experts in biology, medicine and experimentation to ensure optimal collection of data to train biomedical machine learning models.

Why You?

Basic Qualifications:

• Bachelors or Masters degree in a quantitative or engineering discipline (computer science, computational biology, engineering, physics)
• Experience in at least one major deep learning framework (PyTorch, TensorFlow).
• Experience with machine learning literature and deep learning modelling approaches.
• Previous experience in developing and delivering robust software solutions, including demonstrated advanced programming expertise in Python.
• Experience in software engineering and machine learning best practices, including version control, continuous integration (CI) and continuous development (CD), containerization, and shell scripting.

Preferred Qualifications:

• PhD in Machine Learning, Computer Science or related field.
• Peer reviewed publications in major AI conferences or computational biology venues
• Experience working with biomedical data (e.g., genomics, transcriptomics, proteomics, electronic health records, clinical images)
• Experience with foundation models, representation learning, and transfer learning on biomedical data

#GSK-LI

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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