Xenon7 is seeking a talented and motivated Real-World Evidence (RWE) Data Scientist to join our team. As an RWE Data Scientist, you will play a crucial role in leveraging real-world data to generate insights and evidence that drive decision-making in the healthcare industry. You will be responsible for designing and implementing advanced statistical and machine learning models to analyze large-scale healthcare data, including electronic health records, claims data, and other real-world data sources. This is a unique opportunity to contribute to cutting-edge research and make a meaningful impact on patient outcomes and healthcare delivery.

Responsibilities:

• Collaborate with cross-functional teams to define project objectives and deliverables
• Design and implement statistical models and algorithms to analyze real-world healthcare data and generate insights
• Apply machine learning techniques to develop predictive and prescriptive models for patient outcomes, treatment effectiveness, and healthcare utilization
• Work with large-scale healthcare datasets, including electronic health records, claims data, and other real-world data sources
• Clean and preprocess data to ensure data quality and integrity
• Interpret and communicate findings to both technical and non-technical stakeholders
• Keep up-to-date with the latest advancements in real-world evidence and healthcare analytics

Requirements

• Master's or Ph.D. degree in a relevant field (e.g., Data Science, Statistics, Biostatistics, Health Informatics)
• Proven experience as a Data Scientist, preferably in the healthcare industry and working with Real World Evidence Data
• Strong background in statistical modeling and machine learning techniques
• Experience with real-world data sources, such as electronic health records and claims data
• Proficiency in programming languages such as R or Python
• Experience with data cleaning and preprocessing
• Excellent analytical and problem-solving skills
• Ability to work effectively in a cross-functional team
• Strong communication and presentation skills
• Publication record or contributions to the healthcare analytics community is a plus

Benefits

• Work From Home
• Performance Bonus
• Training & Development
• Meet and collaborate with other extremely smart AI-domain Maestros
• Meet and work with CIOs, CTOs, and other important people from big companies
• Work on exciting cutting-edge projects
• Diversity: work on dozens on different AI projects and applications each year