The Senior Research Specialist will possess strong analytical, quantitative and writing skills to work with the research faculty of the Section of General Internal Medicine on a range of projects in health services research and health economics.
The individual must have the ability to independently conduct strong primary and secondary data analysis and have experience building microsimulation models and/or conducting cost-effectiveness analyses/decision analyses for chronic diseases at a moderate to high level of ability.
The ideal candidate would supplement these skills by providing awareness of how major health policy trends influence the work of the department.
Work for the Center for Translational and Policy Research of Chronic Diseases.
The Center aims to influence healthcare policies by studying innovations in chronic disease prevention, treatment, and care organization.
Ability to train and supervise others, including students, volunteers and other support staff required.
Advanced knowledge in chronic diseases required.
Advanced knowledge of research techniques or methods (cost-effectiveness analysis, decision analysis, program evaluation) required.
Strong analytical skills required.
Strong problem-solving skills required.
Attention to detail required.
Strong organizational skills required.
Strong ability to manage multiple competing priorities required.
Verbal and written communication skills required.
Ability to work independently and as part of a team required.
Expert knowledge of Microsoft Excel required.
Strong knowledge of quantitative data analysis software or programming languages (SAS, SPSS, STATA (MATA), R, or C) required.
Education and Experience:
Master's degree or PhD-candidate in Public Health, Public Policy, Health Economics or advanced degree in a field of study relevant to the research being conducted required.
A minimum of two years of experience working with academic medical research or public health projects required.
Experience with designing, developing, or running cost-effectiveness analyses or decision analyses preferred.
Experience with large national health-related datasets (e.g., NHANES, MEPS, NHIS, HCUP) preferred.
â‹NOTE: When applying, all required documents MUST be uploaded under the Resume/CV section of the application
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