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Research Scientist III

April 12, 2013 - April 22, 2013
Location:Albany, NY
Salary Range:$73,059
Exempt/Non-Exempt:Exempt
Benefits:Full Benefits Package
Employment Type:Full Time
Division/Department:44 Holland Avenue
Description:Research Scientist III Salary Grade 25 $73,059 The Research Foundation is seeking a qualified candidate to fill a full-time Research Scientist III position in the NYS Office of Mental Health Office of Performance Measurement and Evaluation on the evaluation of the First Episode of Psychosis initiative. FEP is an initiative to create supportive programming for individuals with first presentation of psychosis. Under the supervision of the Project Lead, the incumbent will participate in all aspects of developing, planning, and conducting the evaluation. Location: 44 Holland Avenue, Albany, New York To Apply: Submit a resume and a letter of interest by April 22, 2013, on our website at http://corporate.rfmh.org - click on Employment Opportunities. Only applications submitted through our website will be considered. The Research Foundation is a private not-for-profit corporation and is not an agency or instrumentality of the State of New York. Employees of the Research Foundation are not state employees, do not participate in any state retirement system, and do not receive state fringe benefits. Excellent Benefits Package. AA/EEO Employer.
Duties:Duties include: • Establish procedures, data bases, spreadsheets and other computer applications as necessary to support data collection and project management. • Performing quantitative and qualitative data analysis. • Write up of findings for internal and external communications/ publication. • Develop and maintain effective working relationships with FEP providers and FEP project management team responsible for the program. Responsibilities: The duties of the Research Scientist III will include, but are not limited to, the following: • Assist in the development of evaluation designs, the selection of appropriate data analysis methodologies, and project management. • Establish procedures, project plans, data bases, spreadsheets and other computer applications as necessary to support project conduct and management. • Performing appropriate quantitative and qualitative data analysis as specified by the evaluation work plan. • Prepare written and graphical summaries of findings and project activities for internal and external communications/ publication. • Write up of findings for internal and external communications/ publication, including scientific publications, and public web pages. • Develop and maintain effective working relationships with FEP providers and FEP project management team responsible for the program.
Qualifications:Minimum Qualifications: • A Bachelor’s degree and three years of professional research experience in an appropriate field; or a Master’s degree in an appropriate field and two years of such experience; or a Doctorate in an appropriate field. Appropriate fields include Psychology, Sociology, Social Work, Public Health, Biostatistics, Economics or a related social science field. Knowledge of statistics and strong written and verbal communication skills are required. • Strong analytic and programming skills, including experience with SAS and SQL for quantitative statistical analysis and familiarity with multilevel regression modeling. • Experience working with large datasets and relational databases in a data warehouse environment. • Proficient with Microsoft Office suite of products including Access, Excel, Word and PowerPoint. • Solid organizational and communication skills and the ability to work cooperatively with a wide variety of professional staff. • Fluency in the English language. • The ability to work independently. Preferred Qualifications: The preferred candidate will have a MS degree and experience in both public health and mental health care systems and analytic experience with a large variety of populations, diseases, and programs areas. Extensive experience working with Medicaid claim, encounter and recipient data is strongly preferred. Strong presentation skills and the ability work with a wide variety of professional staff are necessary. Knowledge of SAS and SQL, and experience with manipulating extremely large datasets and relational databases in a data warehouse environment is necessary. Knowledge of Microsoft Access and Hyperion is also preferred.


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