Zoonotic Disease & Emerging Infections Epidemiologist

NYC Department of Health and Mental Hygiene; New York (NY); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Loan forgiveness

Premium-free health insurance

Public sector pension

Job summary

The Division of Disease Control at the NYC Department of Health and Mental Hygiene is seeking an experienced epidemiologist and data analyst to strengthen surveillance for zoonotic and vector-borne diseases in New York City.

Ideal candidates have expertise in epidemiology, data management, and analysis, with proficiency in SAS and related tools. You will oversee data within Maven, supervise interns, and collaborate with environmental health and public health partners to respond to emergencies.

Qualifications

• Experience with disease surveillance, infectious diseases, and database management.
• Ability to work independently and in teams to collect and analyze data, including leading outbreak and cluster investigations.
• Excellent written and verbal communication skills with the ability to interpret data and convey concepts clearly and concisely.
• Proficiency with SAS (programming and analysis) or other analytic software, Adobe Acrobat, and MS Office software; ability to learn new data systems quickly, document in the data systems, and comply with data integrity and security to safeguard all personal identifiable information
• Flexibility and adaptability are key attributes for this position; candidates should be highly organized with the ability to manage multiple simultaneous projects.

Responsibilities

• Develop and enhance surveillance practices, including updates, and develop as needed, disease case investigation protocols and standardized investigation case forms
• Conduct case investigations and other activities required for the routine surveillance of new and emerging zoonotic and vector-borne diseases in humans and animals
• Oversee case and contact investigations (people and pets) related to emerging and zoonotic diseases
• Oversee and ensure the collection, management and analysis of quality data for surveillance and research
• Manage relevant ZVDU data within Maven (the main database used in BCD) and work with Maven staff to integrate changes, updates and functionalities as needed
• Work on analytic projects and respond to data requests as needed
• Develop and maintain protocols related to avian and novel influenza and other new and emerging zoonoses for contact tracers, on-call physicians, and BCD staff including questionnaires, data entry tools, and trainings
• Work collaboratively with colleagues in Environmental Health to conduct surveillance and research activities
• Participate in outbreak investigations of a suspected or confirmed zoonotic diseases in humans or animals as well as animal morbidity and mortality events
• Participate in large BCD outbreak investigations as needed
• Supervise seasonal college interns
• Participate in outreach to the medical and veterinary communities
• Contribute to the development and implementation of community outreach and education
• Understand and address cultural differences, health inequities and disabilities when interacting with a diverse population in the workplace and the general public
• Respond to all Citywide emergencies as part of the Incident Command Structure

Skills

Disease surveillance

Data analysis

Outbreak investigations

Written communication

Team collaboration

Data management

Education

Master's degree in public health or related field

Tools

SAS

MS Office

Adobe Acrobat

Job description

The Division of Disease Control at the NYC Department of Health and Mental Hygiene is seeking an experienced epidemiologist and data analyst to strengthen surveillance for zoonotic and vector-borne diseases in New York City.

Ideal candidates have expertise in epidemiology, data management, and analysis, with proficiency in SAS and related tools. You will oversee data within Maven, supervise interns, and collaborate with environmental health and public health partners to respond to emergencies.