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Sr. Research Data Analyst (Health Policy and Management)

Job Description - Sr. Research Data Analyst (Health Policy and Management)

We are seeking a Sr. Research Data Analyst who will build complex data models and conduct complex data analysis in support of research projects, programs, and/or studies. The Sr. Research Data Analyst is responsible for coordination of data and data analysis activities across multiple studies.


We are seeking an experienced Sr. Research Data Analyst to support health economics and health services research projects led by faculty in the Department of Health Policy and Management. The Sr. Research Data Analyst would contribute to a range of policy-relevant projects examining the health of older adults, mental health and substance use, value in the Medicare and Medicaid programs, health care affordability, and improving the value and quality of health care delivery. This is an ideal role for people hoping to apply for a PhD in health economics or health services research, or people with significant experience and interest in applied academic research.


The Sr. Research Data Analyst will primarily be responsible for constructing analytic datasets from large administrative databases including health insurance claims, electronic health records (EHRs), employment records, and population survey data. The position would involve developing analytic datasets, conducting data management and quality assessment, and applying statistical and econometric methods to support faculty-led research. In addition, the Sr. Research Data Analyst may also work with more unstructured data sources such as clinical notes or business ownership records.


Candidates with experience implementing econometric research designs—including instrumental variables and difference-in-differences—as well as regression modeling are especially encouraged to apply. The position provides opportunities to contribute intellectually to research projects and, when contributions warrant, to serve as a coauthor on resulting manuscripts.


Specific Duties & Responsibilities

  • Develop, manage, and maintain a database for study data for multiple studies.
  • Develop standard operating procedures for initial data entry and data updates.
  • Oversee quality control procedures for database and ongoing analysis.
  • Develop data models.
  • Conduct statistical analyses of data collected in this system to support empirical study.
  • Build transmission models.
  • Create and curate software tools across diverse programming languages in support of research efforts.
  • Other duties as assigned.


In addition to the duties described above

  • Develop and maintain analytic datasets from large administrative data sources such as health insurance claims data or electronic health record (EHR) data.
  • Perform advanced data management and data linkage, including cleaning and integrating disparate datasets, fuzzy matching of individuals or organizations, geocoding of addresses.
  • Conduct data quality assessments and exploratory analyses using descriptive statistics, visualizations, and other diagnostic methods.
  • Implement statistical and econometric analyses under faculty guidance, including regression and quasi-experimental research designs such as instrumental variables and difference-in-differences.
  • Contribute to research products and dissemination, including preparing analytic results, tables, figures, documentation for presentations and manuscripts; analysts who make substantial intellectual contributions may have opportunities for co-authorship.


Minimum Qualifications
  • Master's Degree in a related field.
  • One year of related experience.
  • Highly specialized advanced knowledge, education and/or training in a specialized field of study to conduct research.
  • Additional education may substitute for required experience, to the extent permitted by the JHU equivalency formula.


Preferred Qualifications
  • PhD in a related field.
  • Experience with STATA, R, SAS, and/or SQL.


Technical Skills & Expected Level of Proficiency

  • Biostatistical Analysis - Intermediate
  • Data Management and Analysis - Intermediate
  • Data Tool and Resource Development - Intermediate
  • Data Validation and Quality Assurance - Intermediate
  • Project Management - Intermediate
  • Research Software Development - Intermediate
  • Statistical Modeling - Intermediate
  • Statistical Programming - Intermediate


The core technical skills listed are most essential; additional technical skills may be required based on specific division or department needs.

 


 

Classified Title: Sr. Research Data Analyst 
Role/Level/Range: ACRP/04/MD  
Starting Salary Range: $57,195 - $100,040 Annually (Commensurate w/exp.) 
Employee group: Full Time 
Schedule: Monday to Friday: 9:00am – 5:00pm 
FLSA Status: Exempt 
Location: Hybrid/School of Public Health  
Department name: Health Economics   
Personnel area: School of Public Health 

 

 

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