Senior Program Officer

Department: Research and Programs

Department Summary: The Research and Programs Department at New York Academy of Medicine conducts applied mixed-methods research and evaluation to improve population health and advance health equity. Our work focuses on generating actionable insights that inform programs, policy, and practice across health and social service systems. In addition to research and evaluation, the Department provides technical assistance, trainings, and products to community-based organizations, health systems, and public agencies to strengthen the delivery of health and social services. We support workforce development and capacity-building initiatives, helping practitioners translate evidence into effective, community-responsive approaches. The Department also serves as a cross-sector convenor, fostering collaboration and shared learning across the health and social service landscape.

Position Summary/Overview: The Senior Program Officer is a highly motivated, highly skilled individual who leads and supports a broad range of research, evaluation, and related activities, including large, mixed methods, and complex studies. The Senior Program Officer should be comfortable working across topics and approaches but may have a specialization in specific research/evaluation methods and content areas consistent with the department’s expertise, including but not limited to quantitative or qualitative methods, health policy, healthy aging, maternal and child health, and climate and health. The Senior Program Officer will also be expected to support and collaborate on the development and submission of project proposals well as creation of capacity strengthening tools and products to expand the department’s offerings.

Essential Duties and Responsibilities: Under the supervision of the Director, the Senior Program Officer’s responsibilities include, but are not limited to: Identifies funding opportunities and develops funding proposals to government and private funders. Develops, designs, and manages projects and activities related to research, evaluation, technical assistance, and product development, including supervision, training and coordination of project teams, as necessary. Conducts mixed methods research, which includes overseeing data collection (e.g., community surveys, focus groups, qualitative interviews) and leading qualitative and quantitative data analysis and reporting. Develops reports, manuscripts, presentations and other materials describing study methodology and findings, for dissemination to diverse audiences. Presents findings to study participants, partners and other stakeholders. Provides training and technical assistance to diverse community partners. Supports development of digital and AI-enabled products to enhance technical assistance efforts. Represents NYAM on workgroups, at conferences, and at other events. Fosters collaborative relationships with partners, funders, and others as needed and assigned. Supervise project staff, as requested.

Requirements: Master's degree or PhD in public health, health sciences, policy or public administration, social work, data science, or related field. Experience planning, collecting, and analyzing quantitative and qualitative data, including focus groups and interviews. Experience in project management and coordinating across multiple stakeholders, including funders, partners, and government agencies. Exceptional writing, communication, and analytical skills, with the ability to translate findings for various audiences. A demonstrated commitment to population health and health equity, with an understanding of upstream drivers of health. Experience supporting grant proposal submission and management activities. Must be able to work well within a team and independently. Highly organized, with the ability to manage multiple projects with competing priorities and tight deadlines. Proficiency with MS Office (Teams, Word, Excel, PowerPoint), reference management software, and relevant survey tools (e.g., Qualtrics, QuestionPro), statistical software (e.g., R, Stata, SPSS), and/or qualitative software (e.g., NVivo, Dedoose).