About this role
【 注 】 此岗位为2027校园招聘岗位。如您是在非校招官网看到的招聘信息，为保证申请的完整性和反馈的及时性，请您前往 校招官网 ( https://careersite.tupu360.com/iqvia ) 进行申请投递。 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.
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud.
All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.