Senior Data Scientist - Real World Evidence
Senior Data Scientist - Real World Evidence
Luminary Group
New York, NY
See who Luminary Group has hired for this role
Responsibilities:
- Lead and guide the development and implementation of data mining and statistical modeling techniques to analyze complex real-world evidence (RWE) datasets
- Preprocess and clean large-scale real-world data to ensure data quality and integrity
- Apply advanced statistical and machine learning algorithms to extract meaningful insights and patterns from RWE data
- Develop predictive models to forecast outcomes and trends based on real-world evidence
- Collaborate with cross-functional teams to interpret analysis findings and communicate results to stakeholders
- Stay up-to-date with the latest research and advancements in data science and real-world evidence
- Implement data visualization techniques to effectively communicate analysis results
- Lead the development of data-driven products and solutions for the healthcare industry
- Mentor and provide guidance to junior data scientists
- Bachelor's degree in data science, computer science, statistics, or a related field; advanced degree preferred
- Minimum of 5 years of experience as a Data Scientist, preferably with a focus on real-world evidence (RWE) and the healthcare industry
- Proven track record of successfully leading and implementing data science projects
- Strong knowledge of data mining, statistical modeling, and machine learning algorithms
- Proficiency in programming languages such as Python or R for data manipulation and analysis
- Experience with data visualization tools, such as Tableau or Power BI
- Solid understanding of database systems and SQL for data querying and manipulation
- Excellent analytical and problem-solving skills, with the ability to find insights in complex datasets
- Strong communication and collaboration skills, with the ability to work effectively in a team environment
- Experience with healthcare data and familiarity with healthcare data standards is highly desirable
- Understanding of regulatory requirements and ethics related to data analysis in healthcare
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Seniority level
Mid-Senior level -
Employment type
Full-time -
Job function
Engineering and Information Technology -
Industries
Non-profit Organizations and Primary and Secondary Education
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