Luminary Group

Senior Data Scientist - Real World Evidence

Luminary Group New York, NY

Luminary Group

Senior Data Scientist - Real World Evidence

Luminary Group New York, NY
2 months ago 153 applicants

See who Luminary Group has hired for this role

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

  • Seniority level

    Mid-Senior level

  • Employment type

    Full-time

  • Job function

    Engineering and Information Technology

  • Industries

    Primary and Secondary Education and Non-profit Organizations

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