Public Health Epidemiologist II

City of New York•New York, NY

4d•Onsite

About The Position

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 & Intervention Group (DIIG) at OCME was created to track suspected and confirmed overdose deaths, provide public sector leaders with timely and actionable information about fatal overdoses, and offer direct support to family and friends of overdose victims in NYC. DIIG conducts public health surveillance of overdoses, collecting and leveraging data before and after OCME has determined the cause and manner of death. This involves timely and accurate identification of suspected overdose cases and monitoring and reporting overdose trends. DIIG also plans and facilitates inter-agency collaboration through a citywide initiative called RxStat by planning and hosting monthly interdisciplinary meetings on overdose prevention. These meetings, including the quarterly OCME-led Overdose Fatality Review meeting, are attended by representatives from over 30 different local, state, and federal agencies. The Epidemiologist II will play a key role in the collection, analysis, and dissemination of epidemiologic and programmatic data for OCME, leading and supporting various surveillance, research, and program evaluation projects.

Requirements

A master’s degree in public health or epidemiology from an accredited college or university with a minimum of 12 graduate credits in epidemiology; or
A baccalaureate degree from an accredited college or university plus two years of full-time paid experience as a health professional in a position which requires data collection and the reading and interpretation of medical charts and medical information in support of surveillance and epidemiologic investigations.
Authorization to work in the United States is required.
Selected candidates will be required to provide a DNA sample by swabbing.
This position has been identified as “essential.” During emergency events, “essential” positions may require 24-hour availability.

Nice To Haves

Experience with SAS, PowerBI, and Excel for data analysis.
Experience designing reports, data visualizations, and dashboards.
Experience developing and implementing data quality control procedures.
Experience providing technical assistance and training on data analysis methods and SAS programming.
Experience responding to ad hoc data requests and conducting rapid analyses.
Experience collaborating with researchers on academic publications.
Experience creating and improving program evaluation tools.

Responsibilities

Analyze large administrative datasets using SAS, PowerBI, and excel to identify patterns, trends, and associations related to overdose deaths
Design reports, data visualizations, and dashboards to effectively communicate information to stakeholders with varying levels of technical expertise
Develop and implement data quality control procedures to ensure accuracy and reliability of epidemiological analyses
Provide technical assistance and training to other staff on data analysis methods and SAS programming
Response to ad hoc data requests by conducting rapid analyses and assessments to provide agency leadership and partners with data-drive insights
Collaborate with internal and external researchers on the development of academic publications using OCME overdose-related data
Create and improve program evaluation tools to track DIIG engagement with overdose bereaved individuals, working closely with DIIG Deputy Director and DIIG Social Workers