Data Scientist - RWE - United States

April 20

Luminary Group

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Description

• Identify and define analytical problems related to real-world evidence (RWE) and develop appropriate data-driven solutions. • Design and implement data mining and statistical modeling techniques to analyze complex RWE datasets. • Preprocess and clean large-scale real-world data to ensure quality and integrity. • Apply machine learning algorithms and techniques to extract meaningful patterns and insights. • Develop predictive models to forecast outcomes and trends based on real-world data. • Collaborate with cross-functional teams to interpret and communicate analysis findings 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. • Participate in the development of data-driven products and solutions for the healthcare industry.

Requirements

• Bachelor's degree in data science, computer science, statistics, or a related field; advanced degree preferred. • Minimum of 3 years of experience as a Data Scientist, preferably with a focus on real-world evidence (RWE) and the healthcare industry. • 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. • Strong analytical and problem-solving skills, with the ability to find insights in complex datasets. • Excellent communication and collaboration skills, with the ability to work effectively in a team environment. • Experience with healthcare data and familiarization with healthcare data standards is a plus. • Understanding of regulatory requirements and ethics related to data analysis in healthcare.

Benefits

• 11 paid holidays • Generous Accrued Time Off increasing with years of service • Generous paid sick time • Annual day of service