Job description

Eagle Global Scientific, LLC is seeking qualified Data Manager V to support services for CDC’s Next Gen Sequencing Core Lab within the Division of Viral Diseases. Candidate will perform these duties:

• Provide data management and data quality support for next generation sequencing (NGS) and laboratory data
• Manage laboratory data by using SAS or equivalent statistical packages (e.g. R) and other data management software (e.g. R, REDCap, Microsoft Access, Excel, EpiInfo).
• Perform data quality assurance activities, including identifying and resolving any inconsistencies in data flow, data outside legitimate ranges, and illogical data responses by developing data q quality reports and investigation and resolution of data anomalies, or errors by using a combination of software packages including SAS or R, MS Access and Excel, and other software (e.g. REDCap) as warranted
• Convert existing datasets from a diverse array of file formats (e.g. Microsoft Excel, Access, SQ L, and ASCII files) into SAS datasets.
• Manage data stored in a variety of file formats such as SAS datasets, Microsoft Access, Microsoft Excel, SQL, and ASCII files.
• Manipulate and transform data that are stored in a variety of file formats
• Maintain the necessary resources, skills, and materials to support the following data management lifecycle activities: execute the coordination of data entry processes, create data entry forms in software packages such as Microsoft Access and REDCap and perform data entry, as required
• Be responsible for tracking problem resolutions related to data quality assurance activities by maintaining data-correction logbooks and files in order to imp rove the quality of the data collection and acquisition processes
• Create and modify SAS programs used for data management and create documentation for programs describing their functions and associated processes and output
• Support the design, development and implementation of surveillance tools to collect epidemiologic data
• Perform NGS and lab data analyses, by:
• Performing analyses of data for epidemiological studies using SAS or an equivalent package (e.g. R)
• Developing and presenting analytical data files to COR and program designee (e.g. project managers and other researchers)
• Ensuring the security and confidentiality of analytical data files an provide data file documentation describing the scientific data source
• Conducting epidemiological analyses by applying appropriate statistical techniques (e.g. multivariate modeling techniques such as linear regression, logistic regression, generalized linear models, and survival analysis)
• Assisting researchers in developing analytical programs ins SAS or R and assist researchers in determining the appropriate statistical techniques to apply to their analyses
• Support survey and design and analysis including selection of appropriate statistical methods and sample size which requires the contractor to:
• Have knowledge of the pros and cons of different sampling methodologies and ability to assist in selection of appropriate sampling methodology
• Assist with design and analysis of cohort and case control studies
• Assist with power calculations for a variety of study designs
• Use SAS and R statistical software and SAS and R programming fundamentals to analyze survey data, also and use SUDAAN and R when it is required to analyze survey data
• Assist with database development and analysis of data related to branch outbreak responses
• Communicate analytic results to internal CDC staff and external partners in a clear, concise and timely manner
• Assist with preparing data and PowerPoint slides for visual presentation

Support study planning, protocol development, and study logistics, possibly including developing and keeping task trackers, protocol organization, organization of study documents (e.g., SOPs, forms, reports, etc.), and preparing study-related materials and overviews. Monitor data submissions from research study partners. The contractor shall complete or assist with analysis of epidemiological studies. All data files for analysis shall be delivered to the COR and/or program designee (e.g., project managers and other researchers).

• Provide data cleaning and management support for research studies and surveillance platforms. Contribute to production of study/surveillance summaries or manuscripts for publication.
• The contractor shall ensure the security and confidentiality of analytical data files and provide data file documentation describing the scientific data source.
• Coordinating or participating in routine study or surveillance meetings, possibly including taking study minutes and preparing materials on study progress.
• The contractor shall manage epidemiological and laboratory data by using SAS or equivalent statistical package (e.g., R) as well as other data management software packages (e.g., R, REDCap, Microsoft Access, Excel, EpiInfo, STATA, etc.). The contractor will be required to conduct analyses including frequencies, longitudinal data analysis, and univariate and multivariate modeling techniques such as linear regression, logistic regression, generalized linear models, and survival analysis.
• The contractor shall perform data quality assurance activities, including identifying and resolving any inconsistencies in data flow, data outside legitimate ranges, and illogical data responses by developing data quality reports and investigation and resolution of data anomalies or errors by using a combination of software packages including SAS or R, MS Access and Excel, and other software (e.g., REDCap) as warranted.
• The contractor shall convert existing datasets from a diverse array of file formats (e.g., Microsoft Excel, Access, SQL, and ASCII files) into SAS datasets. Additionally, the contractor shall be able to manage data stored in a variety of file formats such as SAS datasets, Microsoft Access, Microsoft Excel, SQL, and ASCII files. The contractor shall be able to manipulate and transform data that are stored in a variety of file formats
• The contractor shall utilize, and be capable of fundamental programming SAS, R, SUDAAN, STATA or other statistical software for Epidemiological analysis and survey data analysis.
• Explore the use of data visualization platforms (e.g., R, Power BI, mapping software) to quickly summarize study findings. Support data visualization activities (both for hypothesis generation and to share data with the response). Develop communication materials such as data sets, slide sets and summary reports.
• Perform daily/weekly data runs and create daily/weekly reports. Trouble shoot issues with daily/weekly data runs. Work on ongoing basis to improve and automate code. Conducts weekly data cleaning and generate weekly error reports. Database management and upkeep as well as complete ad hoc data requests.
• Determine sampling methodologies to implement if case counts exceed certain thresholds, characterize surveillance back-fill to help with real-time interpretation of data.
• Determine how to best present age/sex/race adjusted estimates in daily/weekly reports, describe and work to minimize biases related to missingness of key variables such as race/ethnicity.
• Work with internal CDC staff/programs to push data to interactive public-facing website on weekly basis.
• Compile individual-level data submitted from multiple external partners in diverse data formats and merge with laboratory testing results from CDC or contract laboratories; Track completeness and quality of data over time; Prepare summary tables and descriptive analyses of results on a regular basis.
• Have the necessary resources, skills, and materials to support the following data management lifecycle activities: execute the coordination of data entry processes, create data entry forms in software packages such as Microsoft Access and REDCap and perform data entry as required.
• The contractor shall be responsible for tracking of problem resolution related to data quality assurance activities by maintaining data-correction logbooks and/or files in order to improve the quality of the data collection/acquisition process.
• Create and modify SAS (or other) programs used for data management and create documentation for programs describing their functions and associated processes and output.
• Support the design, development, and implementation of surveillance tools to collect epidemiologic data.
• The contractor shall communicate analytic results to internal CDC staff and external partners in a clear, concise and timely manner.
• Assist researchers in developing analytical programs in SAS or R and assist researchers in determining the appropriate statistical techniques to apply to their analyses.

Qualifications:

• Advanced degree in Life Science, Data Science, Bioinformatics, Public Health, Information Technology, or related fields. A Bachelor’s degree and 3-10 years of directly applicable experience will also be considered for this requirement.
• Test software to ensure proper functionality, troubleshoot problems, and resolve technical issues
• Ability to work independently and efficiently in a team environment with support of supervisor and senior staff
• Proficiency in software and languages listed above; willingness to learn new software
• Excellent time management and organization
• Proficiency with the MS Office suite, including Teams, Outlook, and Word

Eagle Global Scientific offers a competitive benefits package to include: paid holidays, paid time off including sick and vacation leave, medical, dental and vision insurance, flexible spending accounts, short and long term disability, company paid life insurance, 401(k) with a company match and discretionary profit sharing and tuition reimbursement.

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