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Machine Learning Engineering Lead
2 months ago
We are seeking a highly skilled and experienced Machine Learning Engineering Lead to join our RNA Therapeutics team at GlaxoSmithKline. As a key member of our team, you will be responsible for leading the development of machine learning solutions to accelerate the discovery and development of novel RNA therapeutics.
Key Responsibilities- Lead a team of machine learning engineers to design, develop, and deploy machine learning models and algorithms to solve complex problems in RNA biology and chemistry.
- Collaborate with cross-functional teams, including data scientists, software engineers, and biologists, to integrate machine learning solutions into our RNA therapeutics pipeline.
- Develop and maintain high-quality machine learning models and algorithms, ensuring they meet the required standards for accuracy, reliability, and scalability.
- Design and implement data pipelines to collect, process, and analyze large datasets, ensuring data quality and integrity.
- Stay up-to-date with the latest advancements in machine learning and AI, applying this knowledge to improve our RNA therapeutics pipeline.
- PhD in Computer Science, Applied Mathematics, or a related field, or equivalent experience.
- Proven track record of leading machine learning engineering teams and developing high-quality machine learning models and algorithms.
- Advanced Python programming skills and experience with deep learning frameworks such as TensorFlow or PyTorch.
- Strong understanding of machine learning best practices, including model selection, hyperparameter tuning, and model evaluation.
- Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
- Experience working with large-scale machine learning systems in a production setting.
- Knowledge of molecular biology, disease biology, and/or biochemistry.
- Peer-reviewed publications in top-tier machine learning conferences.
GlaxoSmithKline is a global biopharmaceutical company dedicated to improving the lives of patients worldwide. We are committed to developing innovative medicines and vaccines that address some of the world's most pressing health challenges. Our RNA therapeutics team is at the forefront of this effort, leveraging cutting-edge machine learning and AI technologies to accelerate the discovery and development of novel RNA therapeutics.
