The CDC Foundation seeks candidates for a full time Survey Statistician to provide professional expertise in the practical applicationof statistical theories, techniques and methods of gathering and/or interpreting health data for the Resolve to Save Lives’ Cardiovascular Health Initiative. This initiative supports the surveillance, monitoring and evaluation of hypertension, sodium intake and artificial trans-fatsin low- and middle- incomecountries (LMICs). This position is full time and works 40 hours a week. The Survey Statistician will utilize their survey research experience to support and provide technical assistance to high burden, LMICs by providing statistical guidance in the design, development and implementation of population-based surveys assessing cardiovascular disease risk factors associated with hypertension, sodium intake and artificial trans-fats. The Survey Statistician will consult regularly with Resolve to Save Lives, Ministries of Health, the World Health Organization and other partners and will maintain data quality assurance and management standards, as well as, provide expertise on study design, data interpretation, statistical analysis and disseminationof results.
This is an outstanding opportunity to work with the nation’s lead agency charged withprotecting the public's health. The Survey Statistician will be hired by the CDC Foundation that and work directly with CDC. The position will be located in the Center for Global Health (CGH) within the Division of Global Health Protection (DGHP), Global Noncommunicable Disease Branch (GNCDB). The CDC Foundation offers a competitive salary and attractive benefits package.
• Provides expert guidance on optimal analytical process for design, development, and implementation of epidemiological surveys and other research studies. Areas of expertise include but are not limited to: statistical survey methodology, specifically as it pertains to implementation of household surveys in LMICs, research design, analysis methods, and the impact that alternative research/study designs may have on study analysis and validity.
• Provides expert assistance on sampling design for complex, multi-stage, cluster surveys in LMICs designed to assess multiple indicators.
• Consults with high level Ministry of Health or census bureau officials to obtain appropriate sampling frames (enumeration areas) as necessary.
• Provides expert assistance on statistical and mathematical problems that are technically challenging and demanding in the area of complex surveys and the analysis of epidemiological research. Works closely with staff in creating innovative approaches to resolve analytical problems and provides critical technical assistance when needed.
• Identifies and addresses statistical issues that arise during or following data collection and makes recommendations on solutions.
• Provides guidance on the appropriate weighting of data based on design.
• Provides guidance in techniques appropriate for the analysis of complex survey data such as logistic regression analysis, categorical data analysis, multiple regression analysis, and techniques involving mixed models. Applies innovative analytical approaches to surveillance and epidemiological data.
• Analyzes the accuracy and validity of prior statistical data and determines appropriate use of data. Recommends improvements for collecting and analyzing statistical data and prepares and disseminates technical documentation of work.
• Performs evaluations of methodology used in other 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.
• Develops new and/or innovative use of existing statistical methods and procedures that directly apply to the specialized problems encountered in complex survey data collection in LMICs.
• Creates, weights, manipulates, and analyzes large complex data sets using existing statistical software such as SAS, S-Plus, Stata, SUDAAN, R, and related software packages/programs. Implements new and/orinnovative use of existing statistical software as needed.
• Designs, develops, tests, and implements statistical programming code, such as procedures to be added to SAS or S-PLUS or standalone programs written in other scientific programming languages.
• Supports the development and writing of technical reports, peer-reviewed manuscripts, or presentations based on the data collected.
• Provides professional statistical advice and consultation to partners, Ministries of Health, public health professionals, senior scientists and management officials.
• Maintains current knowledge of statistical research and exchanges information with other statistical researchers.
• Performs other duties as assigned that are directly related to this position.
All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, national origin, age, mental or physical disabilities, veteran status, and all other characteristics protected by law.
We comply with all applicable laws including E.O. 11246 and the Vietnam Era Readjustment Assistance Act of 1974 governing employment practices and do not discriminate on the basis of any unlawful criteria in accordance with 41 C.F.R. §§ 60-300.5(a)(12) and 60-741.5(a)(7). As a federal government contractor, we take affirmative action on behalf of protected veterans.
The CDC Foundation is a smoke-free environment.
Relocation expenses are not included.
• A minimum of Ph.D. with 3+ years of experience or Master’s degree with 5+ years of experience in statistics, biostatistics, demography, or a related field with extensive experience conducting all aspectsof household-based survey data collection, preferably with one year ofexperience working on projects in LMICs.
• In-depth, comprehensive knowledge of statistical and mathematical analysis techniques as well as computer applications, and statistical programming languages. Skill in applying this knowledge to data collectiontechniques, complex sample designs, data manipulation and analysis (qualitative and/or quantitative). Higher mathematical ability with a solid background in statistical theory. Ability to assess project and determine the most efficient and feasible statistical approach.
• Ability to independently evaluate requested modifications to existing methods and determine if these modifications can be implemented and how to implement without effecting data quality.
• Ability to write and/or present comprehensive statistical reports and scientific manuscripts based upon data collected and analyzed.
• Ability to make recommendations to senior scientists, management officials, and other professionals regarding innovative recommendations for advancing programs and/or methods. Ability to provide project leadership for specialized health-related programs.
• Strong interpersonal and communication skills.
• Demonstrated skills in coordinating a variety of specialized and complex statistical research projects requiring time and project management.
• Experience in the development of sampling frames; design of complex population-based samples; collaboration with data collection teams to provide technical support; and conducting fieldwork in international settings.
• Experience in analytical and technical skills including advanced knowledge of SAS, STATA, SPSS, SUDAAN, R, and other statistical, sampling, and data management software.
• Demonstrated experience with multiple modes of data collection is highly desirable.
• Foreign language ability and field experience are desirable.
• Experience in a role requiring complex internal and external organization as well as a demonstrated ability to work with efficiency, diplomacy, flexibility, and as part of a team.
• The ability to travel up to 20% internationally.
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About CDC Foundation
The CDC Foundation seeks candidates for a full-time Economist position to assist in planning and conducting a comprehensive economic evaluation of new vaccine
introductions in low- and lower-middle income countries. These studies will focus on capturing lessons learned on the successes and challenges for national introduction of new vaccines, including evaluations of the HPV vaccine introduction and typhoid conjugate vaccination. Results from this comprehensive evaluation will inform low- and
lower-middle-income countries on best practices for new vaccine introduction to ensure equity and sustainability of programs. There is also a potential to provide technical assistance to countries in decision-making and planning for new vaccine introduction, as well as involvement in activities with global partners to support country needs.
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