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RWE Data Scientist

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Location
Brazil
Xenon7

Job Description

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

Advice from our career coach

As a Real-World Evidence (RWE) Data Scientist at Xenon7, you will be at the forefront of leveraging real-world data to drive decision-making in the healthcare industry. To stand out as an applicant for this role, consider the following tips:

  • Highlight your experience with statistical modeling and machine learning techniques, especially in the context of healthcare data analysis.
  • Showcase your proficiency in programming languages such as R or Python, as well as your experience with data cleaning and preprocessing.
  • Emphasize your ability to effectively communicate findings to both technical and non-technical stakeholders.
  • Demonstrate your track record of contributing to the healthcare analytics community through publications or other means.
  • Be prepared to discuss your experience working with real-world data sources like electronic health records and claims data in a cross-functional team setting.

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