Statistical Programmer and Analyst
The Center for Health Systems and Policy Modeling at Johns Hopkins University, led by Dr. Melinda Buntin, is seeking a motivated individual to serve as a Statistical Programmer and Analyst. This individual will support the implementation of predictive models and simulations using large health care datasets, as well as conduct economic analyses to address complex challenges in health care policy, spending, and delivery. This role requires programming and statistical analysis skills, and an interest in working on a fast-paced, growing team applying novel research approaches to issues in health policy, health care spending, and payment reform.
The Center for Health Systems and Policy Modeling was founded in July 2023 under the leadership of Dr. Melinda B. Buntin, Bloomberg Distinguished Professor of Health Policy and Economics. The Center, affiliated with both the Bloomberg School of Public Health and the Carey Business School, aims to address emerging issues in health policy with rigorous empirical work with the goal of providing insights to policymakers, business, and the health care sector on how to improve health care delivery and outcomes.
The ideal candidate will be eager to work as part of a team, curious about health policy, and a self-starter able to effectively communicate progress and work collaboratively on diverse research projects. This is a hybrid role with flexible hours, requiring 2-3 days/week in person at JHU’s Washington, DC campus.
Specific Duties & Responsibilities
- Contribute to the development and validation of predictive models and simulations.
- Develop and maintain efficient programming code for data extraction, cleaning, transformation, and analysis of complex health care datasets.
- Conduct data collection, cleaning, and processing for modeling and analysis tasks.
- Solve complex data problems using appropriate methodologies for analyses (e.g., advanced regression modeling, spatial, and longitudinal analysis).
- Contribute to grant proposals, research projects, and collaborative initiatives aimed at improving health care delivery and outcomes.
- Create data visualizations and tables to communicate research findings and model results effectively to stakeholders, policymakers, business leaders, and the health care sector.
- Maintain up-to-date knowledge of relevant programming and statistical methods, and health policy research.
- Collaborate with team members and participate in project meetings and discussions.
- Perform other research activities as required.
Knowledge, Skills, & Abilities
- Familiarity with causal inference, longitudinal data analysis, and regression analysis.
- Familiarity with health economic concepts.
- Strong presentation skills and experience communicating complex technical concepts to non-technical stakeholders.
- Proactive problem-solving skills, with the capacity to identify challenges, propose innovative solutions, and implement them effectively.
- Excellent organizational skills and attention to detail.
Minimum Qualifications
- Bachelor's Degree.
- One-year related experience.
- Additional related experience may substitute for required education, to the extent permitted by the JHU equivalency formula.
Preferred Qualifications
- Master’s Degree in mathematics, statistics, data science, economics, public health, or related field.
- Two or more years’ experience in data analysis or programming.
- Prior experience developing, maintaining and/or validating a predictive model or microsimulation.
- Prior experience with at least one statistical programming language (i.e., R, Python, Matlab, SAS).
- Prior experience in academic or research health care settings.
Classified Title: Programmer Analyst
Job Posting Title (Working Title): Statistical Programmer and Analyst
Role/Level/Range: ATP/03/PC
Starting Salary Range: $53,300 - $93,500 Annually ($73,400 targeted; Commensurate with experience)
Employee group: Full Time
Schedule: Monday to Friday: 9 am – 5 pm
Exempt Status: Exempt
Location: Hybrid/School of Public Health
Department name: HPM HSPM
Personnel area: School of Public Health