Transformative Impact through Machine Learning and AI at GSK
About the Role
We are seeking highly skilled Artificial Intelligence and Machine Learning Engineers to join our team in Europe. Our vision is to harness the power of genetics, functional genomics, and machine learning to develop transformational medicines.
The successful candidates will have a proven track record in developing and validating state-of-the-art machine learning models for solving challenging real-world scientific problems.
Key Responsibilities
* Design and implement AI/ML-driven solutions throughout the model development life cycle.
* Research and develop state-of-the-art machine learning models, including deep learning models, to optimize model performance on various 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.
Requirements
* Bachelor's, Master's, or Doctorate degree in a quantitative or engineering discipline (computer science, computational biology, bioinformatics, engineering, etc.); OR equivalent work experience delivering state-of-the-art AI/ML solutions.
* Experience in at least one major deep learning framework (PyTorch, TensorFlow).
* Experience with machine learning literature and state-of-the-art modeling 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), continuous development (CD), containerization, and shell scripting.
PREFERRED QUALIFICATIONS
* Background or interest in biology or medicine is a plus but not required.
* Fluency in English.
* Experience in design, development, and deployment of commercial AI/ML software.
* Contributions to relevant open-source projects.
* Relevant scientific publications in AI/ML venues (NeurIPS, ICML, ICLR, AAAI, etc.), computational biology, or bioinformatics.
* Knowledge or interest in disease biology, molecular biology, and medicine.
* Experience working with biomedical data (e.g., genomics, transcriptomics, proteomics, electronic health records, clinical images).
About GSK
At GSK, we unite science, technology, and talent to get ahead of disease together. We focus on preventing and treating diseases with vaccines, specialty, and general medicines. Our research areas include infectious diseases, HIV, respiratory and immunology, and oncology.
We strive to create a workplace where people can thrive. We believe that getting ahead of disease together depends on our ambition for patients and shareholders but also on making GSK a place where people feel inspired, encouraged, and challenged to be their best selves.