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You will experience:

• Participate in the design and implementation of projects related to Real-World Evidence (RWE), healthcare data analytics, and Artificial Intelligence (AI), including data management, document development, and project support activities.
• Support end-to-end project execution and management, including project tracking, coordination, and delivery to ensure high-quality project outcomes.
• Utilize relevant tools and technical skills (e.g., office software, analytical tools, programming languages) to support project delivery.
• Keep abreast of the latest developments in AI and Machine Learning and support the application of emerging technologies to enhance project delivery and operational efficiency.
• Other project execution and team support tasks.

You should be able to demonstrate:

• PhD/Master degree in Statistics, Bioinformatics, Artificial Intelligence, Computer Science, Epidemiology, Public Health, Medicine, Life Sciences, or related fields.
• Proficiency in Microsoft Office applications (Word, Excel, and PowerPoint), with strong capabilities in data analysis and/or technical writing. Experience in the following areas is considered a plus: supervised learning, unsupervised learning, deep learning, reinforcement learning, federated learning, time series forecasting, bayesian statistics, optimization methods.

• Strong interest in the latest developments in AI and Machine Learning, with the ability to effectively apply emerging technologies to day-to-day work.