Job details
Job type full-time
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Full job description
Sek on is looking for a modeling and simulation specialist to join our talented and innovative team supporting the centers for disease control (cdc) in atlanta, gaThis role will be 100% remote for the foreseeable futureThe scientific data analyst will manage and analyze quantitative epidemiological, clinical, and/or behavioral data and provide output in the format requested.
With over 25 years of mission-focused success, sek on delivers cultural, operational, and technical transformation to support federal government customers including the national institutes of health (nih), substance abuse and mental health services administration (samhsa), the centers for disease control (cdc), centers for medicare and medicaid services (cms) and defense health agency (dha)Our vision is “better health through innovation and digital transformation.”
Responsibilities:
Conduct analysis and interpretation of data using sas, r, spss, and/or sudaan.
Enter definitions of variables for survey questionnaires, including variable names, range labels, default values, and question strings.
Generate data retrievals and summary outputs.
Support dissemination and reporting of data to stakeholders.
Write sas programs to generate surveillance reports.
Provide routine analysis and interpretation of data, as well as data entry, coding, and transcription.
Develop presentation graphics, including ms office products (powerpoint, word, excel).
Perform literature searches and summarize findings from the resulting literature.
Develop sas programs for managing and validating data.
Review output from the sas programs, identify problems in the output (to make corrections in the way data are collected)
Review data error logs to ensure that requested data modifications are done according to the protocol.
Identify errors/omissions of variable formats or labels.
Document problems and proposed corrections before finalizing the data set.
Review the data files to document problems and proposed corrections needed to be made to finalize the data set.
Review the quality of the weights as indicated.
Document problems with the sas program and any proposed corrections needed to finalize the data.
Review the sas programs generated to create analysis variables for the cycle by comparing the code with similar sas code known to be valid for creating the variable (e.g., from past cycles or another programmer) or by generating cross-tabulations of the variables comprising the analysis variables.
Merge data from different sources into spreadsheets; conduct necessary steps to ensure quality of the resulting merge.
Assist with developing data management processes and protocols.
Requirements:
Bachelor’s degree in public health, statistics, or related field.
Minimum of 8 or more years of experience in related field or industry.
Proficiency in sas programming skills, which include variable recoding, variable label and format creation, data manipulation, and analytic file creation, potentially from multiple data source files.
Proficiency in statistical software specifically designed to analyze complex survey sample data (e.g., sudaan, sas survey procedures) and to generate all descriptive statistics, rates, and statistical models
Proficiency in use of spss to produce analytic data sets and statistical output per cdc researcher preference.
Knowledge of analytic data management including best practices, tools, and techniques is required.
Knowledge of statistical methods and the ability to complete and interpret statistical analyses is required.
Knowledge of geographic information system (gis) software and programming (e.g., aeronautical reconnaissance coverage geographic system-arcgis) is highly desirable as well as interactive data visualization tools (e.g., tableau).
High proficiency with microsoft product suite (ms word, excel, power point, access, and visio), financial systems/software, relational database management and business intelligence reporting tools.
Proven skill in manipulating and cleaning data using a variety of sas functions, formats, macros, and procedures.
Demonstrated ability to work with multiple data sources to monitor and assess data to ensure data quality, including accuracy and completeness.
Detail oriented and able to create meticulous documentation of variables, datasets, and data attributes with a commitment to generating accurate data and products.
Strong organizational and interpersonal skills
Preferred skills/experience:
Master’s degree in public health, statistics, or related field.
Experience preparing with research papers or presentations.
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Posted 3 days ago
