GSK aims to develop transformational medicines using genetics, functional genomics, and machine learning, with AI playing a role in diagnosis and medicine usage to improve health outcomes. The AI/ML Medical Imaging Team specifically focuses on extracting insights from medical imaging data using machine learning and AI, particularly deep learning, to identify novel biomarkers and imaging endpoints in clinical trials.
Requirements
- Familiarity with current deep learning literature and math of machine learning
- Experience in software engineering with advanced skills and expertise in best practices for Pythonic programming, for example refactoring code for efficiency and modularization in PyTorch.
- Developing, troubleshooting, and validating deep learning models for diverse computer vision tasks (e.g., segmentation, recognition, classification, domain adaptation) using PyTorch.
- Experience in one or more open-source computer vision libraries such as Pillow, scikit-image, and OpenCV.
- Experienced in working with clinical imaging data, especially osteoarthritis or respiratory imaging
- Knowledge in disease biology.
- Track record of projects or peer-reviewed publications at the intersection of computer vision and medical imaging.
Responsibilities
- Carry out product-driven research on novel machine learning methods to medical imaging data.
- Leverage internal high performance computing system to train and productionize our models at scale.
- Work closely with domain experts on cross-disciplinary teams to generate actionable insights that impact phenotype, biomarker and clinical endpoint development.
- Contribute to our developing codebase with well-tested, production-ready code.
Other
- PhD in computer science, engineering, math or biological sciences.
- Track record of writing software in a team in industrial environments or open-source projects.
- Mentality of commit early and often, metrics before models, and shipping.
