Position Title: Post Doctoral Fellowship: Epidemiology and Biostatistics Section at the NIH Clinical Research Center

Duties & Responsibilities: The Epidemiology and Biostatistics Section within the Rehabilitation Medicine Department of the National Institutes of Health (NIH/RMD) is seeking a post-doctoral fellow to engage in a multi-year project analyzing the nation’s largest disability programs, Social Security Disability Insurance (DI) and Supplemental Security Income (SSI), administered by the Social Security Administration (SSA). Our interdisciplinary program is designed to provide experiences that foster the development of skills necessary to conduct independent research and to cross-train postdoctoral fellows in disciplines that are not traditionally represented in Rehabilitation Medicine such as mathematics, physics, statistics, or economics. Our training program is intended for students interested in population-level health services research and disability-related public health issues; however, our fellows are encouraged to become actively engaged in the rich and vibrant NIH research community. This is a fully funded, multi-year, post-doctoral fellowship. Successful candidates will have excellent quantitative and applied research skills, strong oral and written communication skills, and the ability to work effectively in a multidisciplinary team setting. Candidates will be expected to conduct collaborative and independent quantitative empirical studies using restricted data, administrative records, or survey data linked to administrative records. For reasons of data security, work will be conducted on-site at the main NIH campus in Bethesda, MD and may include working off-site at one of three local Census data access sites in Baltimore, MD or Washington, DC.

Position Qualifications: This position requires a PhD from an accredited university in statistics, computer science, engineering, mathematics, physics, or economics. The successful candidate will have received a doctoral degree within the last five years that included a minimum of 18 semester hours in statistics, mathematical statistics, biometrics, econometrics, computer science, or probability theory. Individuals with the following knowledge and skills are encouraged to apply: • Demonstrated proficiency in programming with a high-level programming language (e.g., C++, C#) or statistical language (e.g., Stata, SAS, MATLAB, GAUSS, Mathematica); •Experience with any of the following: statistical methods for analysis of complex surveys, randomized controlled trials, clinical trials, power analysis, data-mining, text-mining, machine learning, or linear-programming •A proven high level of organizational and communication skills •Demonstrated ability to work effectively in a multidisciplinary team setting •Demonstrated ability to provide training at various levels •Knowledge of and adherence to the ethical guidelines and regulatory requirements for research involving human subjects •Demonstrated ability to conduct the administrative tasks necessary to create and maintain research data files in compliance with institutional and scientific confidentiality standards •Demonstrated experience preparing conference presentations, research findings, and manuscripts for submission to peer-reviewed journals •Ability to conduct independent research and to form internal and external collaborations in support of research initiatives in conjunction with a multi-disciplinary team in a fast-paced environment •A strong interest in topics related to health and disability, related programs and policies, and/or health services.

Salary Range:

Benefits:

Web Site: http://clinicalcenter.nih.gov/.

Application Address: For prompt consideration send curriculum vitae, a statement of interest in this position, a summary of past research experience, graduate transcript, a writing sample, and a list of at least three references to: Elizabeth K. Rasch, PT, PhD, Staff Scientist and Chief, Epidemiology and Biostatistics Section, National Institutes of Health, Mark O. Hatfield Clinical Research Center, Rehabilitation Medicine Department, Email: RaschE@cc.nih.gov. Please refer to this announcement as the “NIH-RMD SSA post-doctoral fellowship”.

Contact Email: RaschE@cc.nih.gov

Application Deadline: 03/01/2012