Data Analyst Leader for Health Policy Research

7 days ago


Baltimore, Maryland, United States Johns Hopkins University Full time

We are seeking a highly skilled Sr. Statistical Programmer Analyst to join our team at the Johns Hopkins Bloomberg School of Public Health (BSPH). As a key member of our research group, you will be responsible for analyzing large datasets and implementing statistical models to inform policy decisions related to mental health and addiction. The successful candidate will have prior experience working with health insurance claims data, advanced programming skills, and excellent analytical and problem-solving abilities.

Job Overview:

  • Analyze large administrative datasets, including Medicaid and Medicare claims and encounters data.
  • Implement advanced statistical and programming software to conduct exploratory and hypothesis-driven data analysis.
  • Develop and execute complex data solutions using methodologies such as regression modeling and econometrics.
  • Create high-quality data visualizations and tables to communicate findings to stakeholders.
  • Collaborate with researchers and analysts to develop study manuscripts and publications.

Requirements:

  • Bachelor's Degree in Mathematics, Statistics, Data Science, Economics, Public Health, or a related field.
  • At least three years of related experience, with direct programming experience preferred.
  • Advanced knowledge of statistical software, including SAS, Stata, SQL, R, and Python.

What We Offer:

  • A competitive salary range of $62,900 - $110,100 annually, commensurate with experience.
  • A dynamic and collaborative work environment at the Johns Hopkins University.
  • Ongoing training and professional development opportunities.

About Us:

The Johns Hopkins Bloomberg School of Public Health is committed to advancing public health through innovative research, education, and practice. Our faculty and staff are dedicated to creating a diverse and inclusive environment that fosters collaboration and excellence.



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