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Duties

As a Mathematical Statistician you will: Provides advice and assistance for statistical projects or studies that are new or significant departures from the relationships established in previous problems, studies, or investigations, causing outcomes that are usually original in nature. Advises concerning statistical matters and administers, or performs professional work requiring the design, development and adaptation of mathematical methods and techniques to statistical processes, or research in the basic theories and science of statistics, where such research will advance the specialty public health program research methods. Provides expert assistance in techniques such as logistic regression analysis, categorical data analysis, multiple regression analysis, and techniques involving mixed models, and applies innovative analytical approaches to surveillance and epidemiological investigations. Uses SAS, SPSS, and other appropriate statistical packages and programming languages to perform analysis of research studies. Provides authoritative advice on optimal research design and analysis methods and on the impact that alternative research/study designs may have on study analysis and validity. Advice provided directly impacts the quality of research investigations for the Division. Performs evaluation of methodology used in specified health program studies to ensure the results are valid and reliable. Makes recommendations to senior officials on interpreting multiple, conflicting, or incomplete data and advises on technical issues central to initiating new statistical programs or major revisions to current statistical programs. Incumbent writes and/or presents comprehensive technical statistical reports prepared based on the data collected and provides professional statistical advice and consultation to public health professionals, senior scientists, and management officials. Designs, develops, and applies mathematical techniques to statistical research related to methodology used in research and evaluates the results. Designs and develops mathematical statistical models, methods, and/or techniques such as sample and survey designs for related data collection. Monitors and maintains center standards regarding survey design and methodology, where pertinent to the assigned public health area. Plans and develops mathematical statistical theory and methodology for a specific segment of a survey or study, i.e., devises a mathematical model or simulates survey processes for survey segments. Conducts original research to develop new analytical techniques when existing techniques are inadequate for handling specific health program area research problem. Evaluates data resulting from the application of mathematical statistical tools, models, methods, and techniques to the public health area. Analyzes the accuracy and validity of prior statistical data and determines if planned operations and processes are appropriate. Recommends improvements for collecting and analyzing statistical data and prepares and disseminates technical documentation of work. Serves as senior technical advisor developing methods and selecting techniques to conduct methodological research to improve sample surveys or experimental designs; to conduct evaluations of data collection, reduction, processing, and analysis methodologies. Collects, verifies, and adjusts various health related information, (e.g., diabetes, cancer, injury prevention, infectious diseases, etc.) expressed numerically and/or graphically and prepares guidelines or training manuals for the above.

Requirements

Qualifications

All qualification requirements must be met by the closing date of the announcement. Basic Qualifications: Degree: that included 24 semester hours of mathematics and statistics, of which at least 12 semester hours were in mathematics and 6 semester hours were in statistics. or Combination of education and experience -- at least 24 semester hours of mathematics and statistics, including at least 12 hours in mathematics and 6 hours in statistics, as shown in A above, plus appropriate experience or additional education. Minimum Qualifications: To qualify at the GS-14 grade level, you must have at least one year of specialized experience at or equivalent to the GS-13 grade level, which must include the following experience: performing data science work that requires the application of statistical theories, techniques and/or methods on public health issues and programs. Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.

Education

Copy of your transcripts or equivalent documentation is required for positions with an education requirement, or if you are qualifying based on education or a combination of education and experience. An official transcript will be required if you are selected.

College or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.

FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. For more information, visit https://sites.ed.gov/international/recognition-of-foreign-qualifications/.

Contacts

• Address GHC-DGHT-HEALTH INFORMATICS, DATA MANAGEMENT, AND STATISTICS BRANCH 1600 CLIFTON RD NE ATLANTA, GA 30333 US
• Name: CDC HELPDESK
• Phone: (770) 488-1725
• Email: [email protected]