Support Innovation Leadership: Partner with Dr. Salim Afshar to operationalize AI and technology-focused programs within a large multispecialty health system.
AI and Technology Translation: Lead research and program initiatives to integrate AI and advanced technologies into care delivery and community health efforts, studying impact on systems and population outcomes.
Program Operationalization: Design, execute, and manage public health programs from concept to completion, ensuring alignment with organizational goals and strategic vision.
End-to-End Research: Manage full research lifecycle including framing studies, developing and executing surveys (SurveyMonkey/Qualtrics), analyzing data, and publishing in peer-reviewed journals.
Data Visualization and Communication: Transform complex data into accurate, visually compelling diagrams, charts, and workflows; write articles, blogs, and formal reports.
Cross-Institutional Collaboration: Partner with internal teams and external collaborators such as Harvard University to align research and program efforts.
Proactive Problem-Solving: Anticipate challenges, ask critical questions, and propose solutions to drive projects forward in dynamic environments.
Flexible hours and global collaboration: Work may require flexible hours to align with New York-based leadership and global partners.
Requirements
Advanced degree (Master’s or PhD) in public health, health systems, data science, or a related field.
Proven experience in public health research and program implementation, focused on health systems and care delivery.
Knowledge of AI and technology applications in healthcare is highly desirable.
Proficiency in basic research statistics and study design.
Experience with survey development and execution using platforms like SurveyMonkey or Qualtrics.
Ability to manage the full research lifecycle, from ideation to journal submission.
Exceptional writing skills for producing articles, blogs, and peer-reviewed research papers.
Ability to synthesize complex information into clear conceptual frameworks and accurate data visualizations (e.g., diagrams, charts).
Experience with R statistics is preferred.
Familiarity with data visualization tools and appreciation for technology’s role in healthcare.
Tech or product management experience (e.g., Agile methodologies) is a plus.
Highly organized, proactive, and independent, with ability to anticipate needs and drive projects to completion.
Comfortable with ambiguity, eager to ask questions, and adaptable to flexible working hours to collaborate with New York-based leadership and global partners.
Experience working across teams or institutions, with strong relationship-building skills to align efforts with partners like Harvard University.