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职位介绍: 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. As a Machine Learning Engineer focusing on clinical trials and respiratory diseases you will: You will: • Design, implement, and own AI/ML-driven solutions across the model development life cycle. • Research and develop state-of-the-art machine learning models, including deep learning, for biomedical prediction tasks. • Deliver robust, tested, and performant code in an agile environment. • Collaborate with experts in biology, medicine, and experimentation to optimize data collection for training biomedical ML models • Develop and embed automated processes for predictive model validation, deployment, and implementation. • Develop and embed automated processes for predictive model validation, deployment, and implementation. • Deploy your algorithms to production to identify actionable insights from large databases. We are looking for: • A minimum of a master’s degree in computer science, applied math, statistics, physics, systems biology, computational biology, bioinformatics, or related field • 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

其他信息: 语言要求：不限; 行业要求：制药

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