Join the Hopkins Business of Health Initiative (HBHI) as a Sr. Statistical Programmer Analyst and Data Manager

The Hopkins Business of Health Initiative (HBHI) is excited to announce an opportunity for a Sr. Statistical Programmer Analyst and Data Manager to support health policy and economic research on the Hopkins Data Analytics Platform (HARP).

About HARP

The Hopkins Data Analytics Platform (HARP) is a comprehensive, university-wide platform at HBHI designed to support data-driven healthcare services research across Johns Hopkins University (JHU). Our mission is to advance innovative, data-driven solutions addressing national health system challenges across markets, organizations, populations, and technologies. HARP includes Centers for Medicare & Medicaid (CMS) health insurance claims data and is expanding with next-generation data linkages, offering cutting-edge healthcare data access across the University.

Position Overview

This role will be based within the Department of Health Policy and Management (HPM) at the Bloomberg School of Public Health. HPM hosts a diverse, interdisciplinary group of scholars, including social scientists, health economists, legal scholars, policy analysts, management scientists, and ethicists. Many hold joint appointments across the schools of Medicine, Nursing, Arts and Sciences, and Engineering. The department benefits from well-established collaborations with the faculty, students, and patients of Johns Hopkins Medicine.

HBHI is supported by the Carey Business School, the Bloomberg School of Public Health, the School of Nursing, and the School of Medicine, aiming to integrate research, practice, and policy to improve the productivity of the nation’s health system. As a Sr. Statistical Programmer Analyst and Data Manager, you will serve as a co-investigator on health economics projects led by esteemed faculty members Drs. Melinda Buntin, Matthew Eisenberg, and Dan Polsky.

Key Responsibilities

Research Responsibilities

• Support health economics, services, and policy research projects.
• Lead data management tasks including cleaning, variable creation, merging datasets, and compiling data from various sources.
• Create tables, figures, and documentation summarizing statistical analyses.
• Develop and maintain a code library for data processing and analysis across healthcare claims data.
• Provide research support on topics such as cohort definition, risk adjustment scores, cost-sharing calculations, and provider-level data integration.
• Offer coding support to staff, students, and faculty as needed.
• Perform other research activities as required.

Administrative Responsibilities

• Maintain data access among users pursuant to Data Use Agreements (DUAs).
• Maintain data inventory of HARP’s restricted and non-restricted data assets.
• Facilitate new data acquisition based on current and planned research agendas including data delivery, processing, and server data organization.
• Ensure computing resources are used efficiently and accessed appropriately.
• Establish and standardize usage policies for HARP, including job processing, CPU usage, and file storage.
• Develop expertise and cultivate shared knowledge to provide guidance on complex topics.
• Facilitate knowledge sharing among data users through online platforms (e.g., GitHub) and meetings.
• Serve as an internal consultant for research projects within the CMS Virtual Research Data Center (VRDC).

User Training and Support

• Oversee onboarding and technical support for new HARP users.
• Maintain standards for cell size suppression from output to protect data confidentiality.
• Provide resources on formal and informal trainings related to server utilization, CMS data usage, etc.
• Mentor staff, students, and faculty on effective data processes, such as efficient programming and use of ResDAC resources.

Required Qualifications

• Bachelor's Degree.
• Three years of related experience.
• Direct programming experience while pursuing education may count towards related experience.
• Significant undergraduate programming coursework or an independent project can be considered as related experience.
• Additional education may substitute for required experience, and additional related experience may substitute for required education, as per JHU's equivalency formula.

Preferred Qualifications