Research Scientist 2 (Epidemiology) - 24737

StateJobsNY

$75K — $95K *
Healthcare
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in a relevant field (e.g., public health, statistics)
  • 3 years professional research experience
  • Master's or Ph.D. may substitute for experience
  • Experience in linking administrative datasets
  • Proficiency in SAS and SQL programming
  • Strong analytical and scientific writing skills
  • Excellent organizational and interpersonal skills

Responsibilities

  • Support data management and program analysis for early intervention
  • Contribute to federal and state performance reports
  • Assist in data migration and systems validation
  • Conduct cost analyses of claims and liabilities
  • Support quality improvement initiatives
  • Guide junior research scientists in data management
  • Perform statistical analysis and write reports

Benefits

  • Generous paid time off and holidays
  • Public Service Loan Forgiveness (PSLF)
  • Pension from NYS Employees' Retirement System
  • Affordable health care options
  • Family dental and vision benefits at no additional cost
  • NYS Deferred Compensation plan
  • Access to college savings programs and U.S. Savings Bonds
Full Job Description
Duties Description The Bureau of Early Intervention is responsible for the New York State Early Intervention Program (NYSEIP), an entitlement program which provides services to approximately 70,000 infants and toddlers with disabilities and their families. Expenditures for this program exceed $650 million annually. Under the direction of the Data and Program Evaluation unit manager, the Research Scientist 2 (RS2) will provide support to the Bureau of Early Intervention with data management and program analysis to contribute to research in early childhood and to assure compliance with federal and state reporting requirements. The RS2 will be responsible for contributing to the performance report regulated by the Office of Special Education Programs and reports posted on the DOH website. The RS2 will provide assistance in data migration integrity between early intervention information systems, the development and implementation of business requirements to the data system, and validation of data reporting from the information system. The RS2 will conduct cost analyses of claims and liabilities and will support quality improvement initiatives as well as assist lower-level research scientists to manage and analyze data and prepare formal reports and presentations. Specific duties include basic and advanced statistical analysis, study design, sample and power calculations, outcome interpretation, and writing of reports and publications.

Minimum Qualifications Bachelor's degree in biology, biomedical science, environmental health, environmental science, epidemiology, infection control, public health, statistics/biostatistics, or a related degree* AND three years of professional research experience in an appropriate field. SUBSTITUTIONS: master's degree in an appropriate field may substitute for one year of experience, and Ph.D. in an appropriate field may substitute for an additional year of
experience.

*Related degrees may include Economics, Education, Mathematics, Medical Anthropology, Medical Geography, Nursing, Nutrition, Pharmacology, Psychology, Sociology, or other relevant Social Science, or Natural Science.

Preferred Qualifications: Work experience involving the linkage of unrelated administrative datasets to design and conduct epidemiologic research studies. Experience in the management and analysis of primary and secondary data, application of principles and statistical analysis of health service delivery and utilization models as well as public health surveillance. Experience demonstrating the ability to link public health program knowledge to epidemiologic methods, cost benefit analyses, and interpretation for results. Excellent organizational skills, strong interpersonal skills and competencies in teamwork and collaborative research with analytical, critical thinking, and scientific writing skills. Experience presenting surveillance and research results to technical and non-technical audiences. High level of proficiency in SAS programming (especially joining and analyzing large tables), SQL programming, Access, Excel, PowerPoint and Microsoft Word. Experience with Tableau and Geographic Information System (GIS) software.

Additional Comments Full-time, contingent permanent, non-competitive appointment.

Candidates, when applying, please indicate how you possess a full scope of professional research experience that includes problem definition, planning research approaches, conducting studies, collecting and processing data, and interpreting and reporting findings.

Degrees awarded from educational institutions outside the United States, or its territories must be independently verified for equivalency. Please see http://www.cs.ny.gov/jobseeker/degrees.cfm for additional information.

We offer a work-life balance and a generous benefits package, worth 65% of salary, including:
• Holiday & Paid Time Off
• Public Service Loan Forgiveness (PSLF)
• Pension from New York State Employees' Retirement System
• Shift & Geographic pay differentials
• Affordable Health Care options
• Family dental and vision benefits at no additional cost
• NYS Deferred Compensation plan
• Access to NY 529 and NY ABLE College Savings Programs, and U.S. Savings Bonds
• And many more...

Name Human Resources Management Group



Fax 518-473-3395

Email Address [email protected]

Address

Street Corning Tower, Empire State Plaza, Room 2217

City Albany

State NY

Zip Code 12237

Notes on Applying Please submit your resume and cover letter as one (1) document, preferably in PDF format, by email to [email protected], with Reference MR/RS2/24737/DFH included in the subject line or by mail to Human Resources Management Group, MR/RS2/24737/DFH, Rm 2217, Corning Tower Building, Empire State Plaza, Albany, NY 12237-0012, or by fax to (518) 473-3395. Failure to include the required information may result in your resume not being considered for this position.

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