Research Scientist III
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![]() United States, New York, Albany | |
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Applications to be submitted by March 28, 2025
Compensation Grade: P25Compensation Details: Minimum: $91,922.00 - Maximum: $91,922.00 AnnuallyDepartment (OPH) CCH - Division of Chronic Disease PreventionJob Description: Responsibilities The Research Scientist III will work within the Bureau of Data Analytics, Research, and Evaluation, Division of Family Health, Center of Community Health. The Research Scientist III will be responsible for all aspects of the NYS Maternal Mortality Review. The incumbent will oversee data efforts to identity and characterize maternal deaths for identifying prevention opportunities. This position will work closely with in-kind staff, internal and external stakeholders, and the NYS Department of Health grant implementation team on all grant-associated data and analytics. Specific duties include: oversight of and/or performing the data linking and case identification, and oversee all aspects of case ascertainment and data analysis; ensure that data compilation and data entry for the MMR is accurate, comprehensive and timely; work closely with project managers to ensure completion of all grant deliverables related to data management, analysis and quality improvement coordination; respond to regular and ad hoc data requests; lead the preparation of reports and presentations of data and analytical findings for dissemination/publication and supervise staff Minimum Qualifications Bachelor's degree in Epidemiology, Public Health, Statistics, Biostatistics, or a related field and four years of research experience; OR a Master's degree in a related field and three years of such experience; or a Doctorate in a related field and one year of such experience. Preferred Qualifications Demonstrated experience with data management, data methodologies, statistics and software tools, relational databases and linkages of large, complex administrative data systems. Intermediate knowledge of statistical analysis and methodologies. Experience preparing statistical reports for public presentation. Experience writing manuscripts based on analyses. Proficient in the use of SAS, Microsoft Excel, Word and Power Point. Demonstrated excellent interpersonal, organizational, presentation, written and oral communication skills. Experience with extracting, sorting and merging of large health care datasets for the application of higher order analysis. Experience supervising staff. Conditions of Employment Grant funded position. Compliance with funding requirements such as time and effort reporting, grant deliverables, and contract deliverables, is required. Travel, up to 10% of the time, will be required. The selected candidate must reside within a reasonable commuting distance of the official work location specified in the job posting and must also be located in or willing to relocate to one of the following states: New York, New Jersey, Connecticut, Vermont, or Massachusetts, prior to hire. Telecommuting will be available. HRI participates in the E-Verify Program. HRI embraces diversity, equity, and inclusion in our workforce. This is reflected in our affirmative action equal employment opportunity policy. Affirmative Action/Equal Opportunity Employer/Qualified Individuals with Disabilities/Qualified Protected Veterans www.healthresearch.org About Health Research, Inc. Join us in our mission to make a difference in public health and advance scientific research! At Health Research, Inc. (HRI), your work will contribute to meaningful change and innovation in the communities we serve! At HRI, we are on a mission to transform the health and well-being of the people of New York State through innovative partnerships and cutting-edge public health initiatives. As a dynamic non-profit organization, HRIplays a crucial role in advancing the strategic goals of the New York State Department of Health (DOH), Roswell Park Comprehensive Cancer Center (RPCCC), and other health-related entities. HRI offers a robust, comprehensive benefits package to eligible employees, including:
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