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Lead Quantitative Analyst

2 months ago

Ann Arbor, Michigan, United States Arbor Research Full time
About the Role

Arbor Research is seeking a highly skilled and experienced Senior Data Analyst to join our team. As a key member of our analytics team, you will be responsible for leading the development and implementation of advanced statistical methods and data analysis techniques to support our research initiatives.

Key Responsibilities
  • Project Leadership: Lead and manage multiple projects simultaneously, ensuring timely delivery and high-quality results.
  • Data Analysis: Design and implement complex data analysis plans, including data visualization and statistical modeling.
  • Team Collaboration: Collaborate with cross-functional teams, including investigators, project managers, and data analysts, to ensure seamless project execution.
  • Methodological Expertise: Develop and maintain expertise in advanced statistical methods and data analysis techniques, including survival analysis and data mining.
  • Communication: Effectively communicate complex technical information to both technical and non-technical stakeholders.
  • Professional Development: Identify and pursue opportunities for professional growth and development, including training and certification programs.
Requirements
  • Education: Master's degree or PhD in a quantitative field, such as statistics, biostatistics, epidemiology, economics, or public health.
  • Experience: At least 4 years of professional experience in statistical programming, with a strong background in SAS, R, or Python.
  • Skills: Excellent understanding of statistical concepts, strong mentoring skills, and ability to lead analytic sub-projects with minimal oversight.
  • Publications: Demonstrated contributions to the field of health services research, biostatistics, or epidemiology through peer-reviewed publications and written reports.
  • Communication: Strong oral and written communication skills, with the ability to effectively communicate with a wide range of stakeholders.
Desirable Qualifications
  • Federal Contract Experience: Experience working with federal contracts and professional services firms similar to Arbor Research.
  • Healthcare Data Analysis: Experience with healthcare administrative data analysis, including Medicare and Medicaid data in the CMS Virtual Research Data Center.
Compensation

Base compensation is determined by market range and geographic location pay zones. Base compensation also includes various individual factors unique to each candidate, such as job level, prior experience, skill set, certification, and education, which may impact the compensation structure.