Research Scientist, New York State Department of Health
Category : Alumni
The Research Scientist (RS) 2 (Epidemiology) will be responsible for the surveillance and epidemiologic activities related to the planning, design, and operation of the three occupational health registries and the New York Violent Death Reporting System (NVDRS); Identify methods of prevention, intervention and exposure control by applying principles of evidence-based public health, surveillance and biostatistics; Analyze data to identify surveillance and research priorities including, identification of health and risk factors, assessing exposure, and informing outreach and education initiatives; Collaborate with senior research staff to disseminate information, including; authorship and co-authorship of fact sheets, white papers, tables, graphs, progress reports, and articles for publication in peer-reviewed journals; Summarize results for presentation to the scientific community, expert panel members, collaborators, and the general public; Assist senior principal investigators in preparing grant proposals; Provide support to principal investigators to coordinate and achieve project objectives and develop and implement research; Provide supervision of junior research staff as needed to accomplish tasks; Contribute towards enhancing innovative research and surveillance capabilities in the Bureau; Provide technical support and training to junior level research staff; Attend meetings both internally and externally relevant to the surveillance programs.
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Preferred Qualifications: The preferred candidate will have a graduate degree in Public Health, Epidemiology, Statistics/Biostatistics, or a closely related field. They will have experience with SAS, MS Office (including Access and Excel), or other database management software. They will have experience in collection, management, linkage, and analysis of injury and occupational data; excellent oral and written communication skills; show strong attention to detail; and experience working with databases and large data sets. For more information and to apply, please click here. |
