Data Analyst

Position Objective: Provide services as a Data Analyst in support of the overall functions of the National Institute on Aging (NIA) within the National Institutes of Health (NIH). The contractor will independently provide support services to satisfy the overall operational objectives.

Duties and Responsibilities:

Provide final data sets for each project.

Perform statistical analysis for each project.

Construct systematic processes for data entry and quality assurance from project onset through analysis.

Perform data entry in support of a number of different systems and programs, both numerical and text format.

Organize, implement, maintain, and archive data.

Work with staff to gather and analyze information from users, primarily principal investigators (PIs), needed for the development or modification of CRFs and accompanying interface relating to data collection, storage and access.

Coordinate and perform data entry.

Perform quality checks to ensure consistency, integrity and robustness of data.

Provide analysis, analytical modeling, and/or data visualization on data sets using relevant data tools.

Create data workflow processes.

Ensure that appropriate variables are captured in the constructed databases.

Format databases to allow merging of spreadsheets for statistical analyses and to optimize planned analyses.

Record data into a format appropriate for processing.

Apply statistical techniques to produce meaningful tables and graphs using appropriate software.

Provide support with data sharing, including public repositories.

Work with staff to prepare and standardize data for the database.

Perform routine and general data management.

Prepare tables and figures from data analyses.

Perform database searches and assemble data sets.

Complete data analyses and draft manuscript from study results.

Create systematic documentation on reporting (completeness, changes or errors).

Provide draft results and output for statistician review.

Maintain data for past and present studies.

Work with staff to curate data, retrieve records, generate reports and act as a liaison with academic and industry researchers.

Compile results of analysis projects into detailed reports.

Maintain databases for tracking and monitoring activities.

Maintain and update electronic copies of all databases and data dictionaries developed for projects.

Maintain and update accurate and complete filing of data following data entry / QA.

Perform data auditing for quality assurance of data entry review.

Follow established policies and procedures for the quality assurance of all study collection interfaces, storage and access.

Maintain a variety of computerized files and records.

Maintain and improve the existing data pipeline for processing and storing data.

Develop and maintain data management and quality assurance/quality control procedures that improve the transparency, consistency, accuracy and comparability of data which supports the integrity of research.

Develop or implement computer programs to produce statistically appropriate tabulations and analyses.

3.Document methods and results sufficiently to ensure reproducibility by other researchers.

Maintain tracking spreadsheet of tasks completed for each project and time spent conducting each task.

Develop, maintain and update program database and spreadsheet.

Participate in the design and implementation of data reporting tools.

Evaluate data utility in developing and executing long-range strategic plans.

Provide support for requests pertaining to new studies for electronic data capture or storage from investigators, review of current system or the creation and editing of CRFs and electronic capture tools/interface.

Maintain databases and spreadsheets related to various data sharing activities.

Provide support for all data sharing related activities; create and maintain data access and data submission tracking systems and reports to be presented to senior program leadership.

Maintain databases and spreadsheets for tracking and analyzing submission of datasets.

Establish procedure to address inconsistencies and track resolutions.

Develop data dictionaries for each database.

Enhance data management and document data sharing practices.

Apply database management concepts, principles and methods, including data management systems, storage capacity management, backup and recovery, data storage media and other tools used for data management.

Work with the data manager to provide data auditing services to studies that are active and ongoing as required to ensure that the quality of the data meets the study goals and quality standards.

Meet with data customers inside and outside the UDP to assess dataset requirements.

Formulate appropriate data auditing plan and strategy to provide services to studies that are active and ongoing as required to ensure that the quality of the data meets the study goals and quality standards.

Prepare databases and reports for staff; perform various tracking and analysis of branch data to include spreadsheet preparation and interpretation.

Design, develop and maintain databases, Listservs, spreadsheets, PowerPoint presentations and other computer applications.

Perform database analysis to look for incomplete data elements.

Identify possible trends and patterns in the data; communicate relevant findings that support problem solving and decision making.

Track and solve problems during the data entry and QA processes.

Provide description of procedures used to perform data quality assurance; update as procedures are developed.

Provide log and description of project-related data, associated data management problems that were solved and their resolution.

Allocate quality assurance resources to ensure data validity and fidelity.

Work with database users to identify and resolve cases of missing data.

Establish procedure to address inconsistencies and track resolutions. 1

Develop data dictionaries for each database. 2

Enhance data management and document data sharing practices. 3

Apply database management concepts, principles and methods, including data management systems, storage capacity management, backup and recovery, data storage media and other tools used for data management. 4

Work with the data manager to provide data auditing services to studies that are active and ongoing as required to ensure that the quality of the data meets the study goals and quality standards. 5





Clean Equipment - Ad-Hoc

Run Validation - Ad-Hoc

Meet with lab members to present updates - Ad- Hoc

Basic Qualifications:

Bachelor's degree in Biology or a related discipline.

Certified Information Security Manager (CISM).

Skilled in Javascript, RStudio, Python, Matplotlib, MATLAB, and Python.

Experience in algorithm development, database management, statistical modeling, machine learning, and data cleaning.

Minimum Qualification.