The Reportable Disease Data, Informatics, and Analysis Unit in the Bureau of Communicable Disease (BCD) is responsible for the database systems, processing, data quality, and analysis of surveillance data for > 73 infectious diseases. The unit also collaborates with the Division of Informatics and Information Technology (DIITT) to ensure complete, accurate, and rapid transmission of reports to surveillance databases, and provides data management and epidemiologic and analytic support for outbreak investigations, including large-scale public health emergencies.
The Reportable Disease Analyst will be primarily responsible for maintaining the critical daily operations and quality assurance of notifiable communicable disease surveillance data, supporting the analytic needs of BCD staff, and maintaining and enhancing analyses to track trends and detect aberrations that could suggest disease clusters, outbreaks, or data quality issues.
Activities will include the following:
- Write, adapt, debug, maintain, and produce documentation for SAS programs for automated processing, quality control, spatio-temporal analysis, visualization, dissemination, and archiving of data and results.
- Serve on weekly rotations, every 4-5 weeks: As analyst of the week, run automated statistical analyses to detect reportable disease clusters, review output and address issues, and de-duplicate persons requiring human review. As electronic clinical laboratory reporting analyst, clean electronic laboratory data requiring human review and collaborate with DIITT to identify and resolve laboratory reporting issues.
- Support daily operations, maintenance, and quality assurance for surveillance data imported into and extracted from Maven, BCD’s reportable disease surveillance database.
- Provide support to BCD epidemiologists and subject matter experts by, e.g., ensuring that Maven data are clearly documented, advising BCD analytic staff on efficient methods for accessing data, automating data processes to the extent possible, and ensuring the quality and completeness of data available for analysis.
- Provide data and meta-data in response to internal and external data requests, including grant performance metrics.
- Provide data collection and analysis support for outbreak investigations, emergency response activities, and special epidemiologic projects, as needed.
- Write summary reports for internal and external distribution and research papers describing surveillance methodologies and analysis results, including formal evaluations of the utility of these systems.
- Supervise a research scientist performing similar duties.
Minimum Qual Requirements
1. A doctorate degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and one year of full-time experience in a responsible supervisory, administrative or research capacity in the appropriate field of specialization; or
2. A master's degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and three years of responsible full-time research experience in the appropriate field of specialization.
Expertise in manipulating and analyzing large datasets; experience with SAS and SQL preferred. Experience in the management and analysis of public health data stored in Maven, Access, or other databases. Experience with statistical methods to detect disease aberrations and analyze spatio-temporal trends. Experience in helping colleagues to access and analyze data, e.g., using logistic regression. Experience with data visualizations, including mapping and interactive data displays. Knowledge of infectious disease epidemiology and biostatistics. Experience in outbreak investigation and public health emergency response. Excellent writing and speaking ability, strong interpersonal communication and time management skills, and attention to detail.
Apply online with a cover letter to https://a127-jobs.nyc.gov/
In the Job ID search bar, enter: job ID # 227279.
We appreciate the interest and thank all applicants who apply, but only those candidates under consideration will be contacted.