Minimum Qualifications G18 - Bachelor's degree in a degree in Mathematics, Statistics, Engineering, Biostatistics, Public Health, Epidemiology, or a *related degree AND two years of post-degree professional research experience in the appropriate field; OR a Master’s degree in one of the above fields and one year of such experience in the appropriate field.
G22 - Bachelor's degree in a degree in Mathematics, Statistics, Engineering, Biostatistics, Public Health, Epidemiology, or a *related degree AND three years of post-degree professional research experience in the appropriate field; OR a Master’s degree in one of the above fields and two years of such experience in the appropriate field; OR a Doctorate in the appropriate field.
Preferred Qualification: Preference will be given to applicants with demonstrated experience in the use of large databases to support public health surveillance systems. Applicants should have knowledge and demonstrate evidence of previous experience in processing and merging program participation data to populate public health surveillance systems. They should be familiar with standard procedures for cleaning, querying and summarizing data from large datasets. Preference will also be given to the following: Experience working with maternal and child health data, use of data marts to extract and query data, work experience demonstrating an understanding of the sources and methods of obtaining health data to populate surveillance systems; evidence of excellent analytic and scientific writing skills and a track record of presenting surveillance and statistical results to technical and non-technical audiences; and intermediate or better proficiency in SAS programming, Excel, PowerPoint and Microsoft Word.
Duties Description The Research Scientist 1 or 2 (RS1 or RS2) will conduct data analyses and surveillance activities to support the Pediatric Nutrition Surveillance System (PedNSS) in the Division of Nutrition. The RS1 or RS2 will contribute to the implementation of analysis plans for assessing the reliability and validity of data extracted from the WIC information system. The incumbent will contribute to the design, testing and validation of SAS datasets that can be used to generate monthly and annual summary statistics for WIC indicators at the State, county and WIC local agency (LA) levels. He/she will summarize statistics for priority indicators and prepare statistical reports that will be disseminated within the WIC program as well as through the DOH public website, Open Data NY Dashboards, and the Maternal Child Health Block Grant progress reports. The incumbent will work as part of a team and conduct evaluation studies and statistical analyses that address emerging data needs in the NYS WIC program and contribute to efforts to disseminate results using scientific manuscripts, written reports and oral presentations to reach both professional and lay audiences. The incumbent will also perform other duties as needed, including the review of external research study protocols, coordinating external data requests and supporting program outreach efforts through the conduct of statewide and local-level comparisons of WIC certification data with enrollment data from other means-tested (adjunctive eligibility) programs such as Medicaid, TANF and SNAP.
Some positions may require additional credentials or a background check to verify your identity.
Notes on ApplyingSubmit cover letter and resume, preferably in PDF format, to Human Resources Management Group, JB/22015/RS, Room 2217, Corning Tower Building, Empire State Plaza, Albany, New York 12237- 0012, or fax to (518)473-3395, or by email to firstname.lastname@example.org, with Reference Code JB/22015/RS included in the subject line. Failure to include the required information in the subject line of your email or fax may result in your resume not being considered for this position. Resumes will be accepted until August 21, 2021