Data and Surveillance Supervisor

The Office of Chief Medical Examiner (OCME) investigates cases of persons who die within New York City from criminal violence, by accident, by suicide, suddenly when in apparent health, when unattended by a physician, in a correctional facility, or in any suspicious or unusual manner. The Drug Intelligence and Intervention Group (DIIG) at OCME tracks suspected and confirmed overdose deaths, provides public sector leaders with timely and actionable information about fatal overdose, and provides direct support to family and friends of overdose victims in NYC. DIIG conducts public health surveillance of overdose and coordinates the citywide RxStat initiative. The Data and Surveillance Supervisor is responsible for overseeing the long-term planning and management of multiple large scale data systems improvement projects for DIIG, working closely with OCME colleagues, research partners, other city agencies, and OCME IT. This position will report to the DIIG Deputy Director.

Responsibilities

Lead and supervise a team of epidemiologists, data analysts, and support staff in the collection, management, and analysis of overdose-related data; Oversee the design, implementation, and maintenance of data systems to improve overdose mortality surveillance and reporting; Develop strategic vision for enhancing data infrastructure, including implementing new technologies and methodologies for more efficient data capture and analysis; Champion data quality improvement initiatives, including standardization of protocols, validation procedures, and quality control systems; Manage relationships with external partners including law enforcement agencies, public health agencies, and academic institutions; Lead the development of dashboards and visualization tools to communicate mortality data to stakeholders and the public; Ensure compliance with legal, ethical, and regulatory standards for death investigation data and protected health information; Spearhead innovative approaches to identifying emerging overdose trends through mortality data analytics; Translate complex epidemiological findings into actionable recommendations for overdose prevention interventions and public policy; Serve as a subject matter expert for research partnerships, providing expert consultation on study design, statistical analysis, and data interpretation

Requirements

At least four years of full-time experience in public health research, applied epidemiology, and/or biostatistics; Strong interpersonal skills; Ability to lead a diverse team and foster relationships with colleagues and partners; Experience using SAS, Dedoose, Microsoft Excel and/or PowerBI for data analysis; Knowledge of vital statistics, mortality, or other public sector health data sources; Knowledge of overdose prevention and harm reduction best practices; Experience working with large, complex datasets and data systems; Strong written and verbal communication skills and comfort with public speaking; Highly organized, and able to manage multiple simultaneous projects with competing priorities