AI/ML Engineer - Controllable Biology

At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting-edge technology to transform people’s lives. GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients’ needs and have the highest probability of success.

At GSK, we see a world in which advanced applications of machine learning and AI will allow us to develop novel therapies for existing diseases and quickly respond to emerging or changing diseases with personalized drugs, driving better outcomes at reduced cost and 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 Controllable Biology Team applies machine learning and AI methods to biological networks and sequence data from large-scale human genetic, functional genomic, and single-cell experiments. Models that control biological networks have the potential 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 breadth of knowledge across machine learning methods, as well as depth in at least one area. You should be able to execute and deliver full AI/ML-driven solutions, from sourcing training data to designing and implementing SOTA machine learning models, testing, and benchmarking.

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:

• Master’s degree in a related field (e.g. computer science, mathematics or natural sciences).
• Knowledge of machine learning, software engineering and agentic development best practices.
• Proficiency with standard deep learning algorithms and model architectures.
• Experience with Python and PyTorch, or equivalent languages and machine learning frameworks.
• Experience working with biological sequence and network data, including genomics, transcriptomics, proteomics, gene regulatory networks or related biological datasets.

Preferred Qualifications:

• Advanced degree (Master's or PhD) in a quantitative or computational field.
• Knowledge of systems biology, disease biology, molecular biology and biochemistry.
• Peer-reviewed publications in major AI conferences.
• Track record of contributing to open-source projects.

Work Arrangements:

The role is hybrid, requiring on-site work 2 days per week. Remote or fully home-working arrangements are not available for this role.

How to apply:

Please submit your CV and a short cover letter that explains how your experience maps to the role and what you hope to learn. We welcome applicants from a range of backgrounds and career stages. If you need an adjustment during the application process, tell us and we will work with you. We look forward to hearing from you.

Skills: Artificial Intelligence (AI), Artificial Intelligence Ethics, Classification Models, Deep Learning, Intelligent Automation (IA), Machine Learning (ML), Model Evaluation, Model Validation, Predictive Modeling, Probabilistic Modeling, Python (Programming Language), Test Documentation.

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.