At GSK we see a world in which advanced applications of Machine Learning and AI will allow us to develop transformational medicines using the power of genetics, functional genomics and machine learning. AI will also play a role in how we diagnose and use medicines to enable everyone to do more, feel better and live longer. It is an ambitious vision that will require the development of products at the cutting edge of Machine Learning and AI.
The opportunities for machine learning extend to many other areas of our business, including medicine safety, manufacturing, and supply chain. To realize these opportunities, GSK has created a global Artificial Intelligence and Machine learning group (AI/ML), with locations in London, San Francisco, Boston, Philadelphia, Tel Aviv, and Heidelberg, to focus on the development and application of machine learning to problems of critical importance at GSK. We possess a world‑leading data and computational environment (including specialist hardware) to enable large‑scale, scientific experiments that exploit GSK’s unique access to data.
By actively engaging with the machine learning community and publishing our research, code and models built on public data, the AI/ML group operates at the cutting‑edge of machine learning research. To help us, we seek a passionate, early‑career machine learning scientist who wishes to turn their talents to the healthcare sector, with a focus on respiratory disease. You will be working with multiple Research Engineers on building products to support multiple large‑scale projects within AI/ML. In addition, the researcher will learn about the pharmaceutical industry and software engineering and translate their research into tools that aid discovery and development of transformational medicines.
You will have access to outstanding experts in biology, chemistry, (software) engineering, data science and machine learning; unrivalled data sources and GSK’s state‑of‑the‑art laboratory and compute infrastructure to help you develop and validate your machine learning research.
In this role you will
* Design and implement novel scientific approaches to uncover and explain key relationships within a multitude of biological data types.
* Leverage data and insights to produce robust, explainable, and accurate predictions across a variety of key biological and clinical tasks.
* Connect and collaborate with subject matter experts in biology, genomics, and medicine.
* Identify opportunities to apply the latest advancements in Machine Learning and Artificial Intelligence to build, test, and validate predictive models.
* Develop and embed automated processes for predictive model validation, deployment, and implementation.
* Deploy your algorithms to production to identify actionable insights from large databases.
Basic Qualifications
* A minimum of a master’s degree in computer science, applied math, statistics, physics, systems biology, computational biology, bioinformatics, or related field.
* Extensive experience in Python programming and knowledge in machine learning and statistics.
* Demonstrated proficiency working with biological/healthcare data in an academic or professional setting.
* Familiarity with at least one Deep Learning framework such as TensorFlow, Keras or PyTorch.
* Proven ability to solve complex problems using creative approaches, state‑of‑the‑art tools, and best engineering practices.
* Ability to work both autonomously and collaboratively on complex projects.
Preferred Qualifications
* A PhD in computer science, applied math, statistics, physics, systems biology, computational biology, bioinformatics, or related field.
* Expertise developing machine learning models within the PyTorch framework.
* Experience with theory & applications in software engineering; training and operating algorithms at scale; production deployment of ML services.
* Ability to digest, synthesize, and implement innovative methods from scientific literature.
* Familiar with collaborative working through Git.
Closing Date for Applications
Wednesday 26th November 2025 (COB)
Why GSK?
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.
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