Senior Data Scientist - Real World Evidence
Luminary Group | New York | apply.workable.com |
Luminary Group is currently partnered with a leading life science company who are seeking a highly skilled and experienced Senior Data Scientist with expertise in Real World Evidence (RWE) to join their team. As a Senior Data Scientist, you will be responsible for driving the analysis and interpretation of real-world data to generate valuable insights and support evidence-based decision making in the healthcare industry.
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.
Requirements
• 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.
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.
Requirements
• 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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