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
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