# Real-World Evidence (RWE) Project Support

**Company**: IQVIA
**Category**: Data Science
**Industry**: Healthcare

**Apply**: https://iqvia.wd1.myworkdayjobs.com/en-US/IQVIA/job/Shanghai-China/XMLNAME--------RWD-T--Analyst---Associate-Consultant--Real-World-Solutions_R1566355?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_f7644a2e-09f

## Description

You will experience:

- Participate in designing and implementing 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 supervised learning, unsupervised learning, deep learning, reinforcement learning, federated learning, time series forecasting, Bayesian statistics, and optimization methods is considered a plus.

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

## Skills

### Required
- Statistics
- Bioinformatics
- Artificial Intelligence
- Computer Science
- Epidemiology
- Public Health
- Medicine
- Life Sciences
- Microsoft Office
- Data Analysis
- Technical Writing

### Nice to have
- Supervised Learning
- Unsupervised Learning
- Deep Learning
- Reinforcement Learning
- Federated Learning
- Time Series Forecasting
- Bayesian Statistics
- Optimization Methods

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