Research and Evaluation Analyst, Bureau of Epidemiology Services

The Center for Population Health Data Science (CPHDS)- launched in October of 2023- aims to catalyze critical data modernization work and enable the agency to make progress toward linking public health, healthcare, and social service for timely and effective publication. We are working towards making these data more accessible, timely, equitable, meaningfully usable, and protected – and actively used to protect and promote the health and wellbeing of New Yorkers.

We aim to strengthen agency wide data capabilities by empowering our workforce, enhancing intra- and inter-agency data sharing, and using modern technology to yield trusted and integrated data and insights. A comprehensive view of city needs is needed to enhance public health action and improve health outcomes for the most vulnerable New Yorkers. The CPHDS is working to strengthen citywide population health surveillance by be ter linking public health, healthcare, and social service data to fully characterize and improve the health of New Yorkers.

The Bureau of Epidemiology Services (BES) collects, analyzes and communicates data to monitor and improve the health of New Yorkers. BES provides statistical and analytic support for public health surveillance, epidemiologic research, and program evaluations  also promotes strengthening internal capacity for research and evaluation through consultation and regular trainings for DOHMH staff. BES plays a pivotal role for initiating and performing inter and intra agency collaboration projects, including acquiring data, developing study designs and methodologies, analyzing data, and disseminating findings.

CITTY RESEARCH SCIENTIST - 21744

• Apply analytic, statistical, and programming skills for the design, planning and implementation of research and evaluation projects focused on the impact of supportive housing on health and equity outcomes.
• Co-lead data matching and data management processes in partnership with data engineers for complex, multi-agency projects using efficient probabilistic matching algorithms. Work with analysts and data stewards in other bureaus and agencies to facilitate and conduct data matching and quality control activities.
• Develop database storage systems and periodically upload, transform, and manage data for team projects.
• Carefully document data matching, management, and governance processes.
• Co-author peer-reviewed manuscripts related to the impact of supportive housing on health outcomes.
• Interpret research findings to inform policy and programmatic decision making.
• Prepare and present knowledge products (such as slides, briefs) to a range of internal and external audiences.
• Participate in data- and methods-related technical assistance to agency projects as needed.

• Five years of health research or program evaluation experience.
• Experience in applying causal inference and/or data science methodologies to complex public health challenges.
• Proven ability to develop innovative and data-driven solutions to complex public health and data challenges and contextualize findings within theoretical frameworks.
• Proven ability to build and maintain strong relationships with teammates, partners, and subject ma ter experts by fostering teamwork and collaboration.
• Familiarity in data matching for administrative datasets.
• Experience working with Medicaid claims or SPARCS data.
• Familiarity with supportive housing

• Loan Forgiveness:
  As a prospective employee of the City of New York, you may be eligible for federal/state loan forgiveness and repayment assistance programs that lessen your payments or even fully forgive your full balance. For more information, please visit the U.S. Department of Education’s…