Luminary Group is partnering with a leading life science company in their search for a talented and experienced Data Scientist with expertise in Real-World Evidence (RWE). As a Data Scientist, you will play a crucial role in analyzing and interpreting real-world data to generate valuable insights and support evidence-based decision making in the healthcare industry.
Responsibilities:
* 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
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