Mathematical Statistician - Center for Statistical Research and Survey Design

 

Position and organization

The Centers for Disease Control and Prevention’s (CDC) National Center for Health Statistics (NCHS; http://www.cdc.gov/nchs/), Collaborating Center for Statistical Research and Survey Design (CCSRSD) in the Division of Research and Methodology (DRM), located in Hyattsville, Maryland, is seeking a Mathematical Statistician. As the nation’s principal health statistics agency, NCHS’ mission is to provide statistical information to guide actions and policies to improve the health of the American people.

CCSRSD contains the largest group of mathematical and research statisticians (more than 10) at NCHS. CCSRSD conducts statistical methodological research and collaborates with various programs within and outside of NCHS to support data-related research activities. Recent methodological work by CCSRSD includes the study and sampling design of CDC and NCHS surveys, methods for modeling and analyzing vital statistics and survey data, small-area estimation and spatial modeling, combining information from multiple data sources, data disclosure limitation and protection of confidentiality, missing data and imputation, and statistical genetics. The applied work spans a wide variety of topic areas such as disease epidemiology, health outcomes and services research, and survey methodology. Research products include scientific journal papers and government reports. Staff members are encouraged to attend conferences and workshops to present their research findings and for professional training.

 

Position overview

The Mathematical Statistician will perform statistical methodological and collaborative research on a variety of issues and problems relating to survey and study design, modeling, data analysis, and statistical inference. In addition, the incumbent will function as a consultant and advisor on survey and study design and statistical analysis to other NCHS divisions and offices as well as external organizations. The work requires knowledge of statistical theory and concepts, experience in applied statistics, and a solid statistical computing and software background. Consulting and other collaborative experience is highly desirable.  

 

Qualifications

This position is open to all citizens of the United States or legal permanent residents with a work authorization. Applicants must have successfully completed a Master’s degree in statistics, biostatistics, or a related field (e.g., mathematics or science). Candidates with doctoral degrees or post-doctoral experience are encouraged to apply. Experience and coursework in statistics is essential, as is experience in collaborating on statistical applications, experience in statistical computing and software for statistical analysis, and experience conducting research in theoretical statistics, modeling and small-area estimation, novel sample and study design, analysis of data from complex surveys, statistical disclosure limitation and confidentiality, missing data, or other current or emerging statistical areas.

 

Terms of appointment

The successful candidate will be offered an initial 36-month appointment, with potential for extension. A starting date will be determined by mutual agreement. An initial salary of $64,650–$119,794 will be offered, based on education and experience. Salary increases will be commensurate with performance. Federal benefits such as annual and sick leave, Thrift Savings 401(k)-equivalent, and health and life insurance apply. A flexible work schedule or telework may be offered at the discretion of the division. Free onsite parking or a public-transportation subsidy is available. The local subway station is within walking distance, and a free shuttle is also available to and from the station.

 

Application process

Review of applications will begin on December 23, 2016 and will continue until the position is filled. Interested applicants should submit a cover letter, their curriculum vitae, a copy of official transcripts of all graduate and undergraduate credits, and contact information for two references to Yulei He at the mailing address below. Inquiries or questions regarding this fellowship can be directed to YuleiHe@cdc.gov or 301–458–4533.

 

Mailing address

Yulei He, Ph.D.
Collaborating Center for Statistical Research and Survey Design
Division of Research and Methodology
National Center for Health Statistics
Centers for Disease Control and Prevention
3311 Toledo Road, Room 4641
Hyattsville, MD 20782

 

**CDC/NCHS is an equal opportunity employer. Qualified applicants will receive consideration without regard to race, creed, color, age, sex, national origin, physical or mental disability, or sexual orientation.**