Data Analyst Dietary Behavior Research

1 month ago

Bethesda, United Kingdom PriceSenz Full time

Location : IC:CC Street: 10 Centre DrBldg.: 10 Room: 2B07City: Bethesda State &Zip: MD 20892

Weekly Hours FT: 3040 hours per week Total No. of Hours :40

Overall Position Summaryand Objectives

This position reportsto the Section Chief for The Dietary Behaviours and

Biopsychosocial Section of the TranslationalBiobehavioural and Health Disparities Branch of the NIH ClinicalCentre. Primary responsibilities include data entry management andanalysis for clinical studies looking at the intersection ofnutrition diet and biopsychosocial health.

Min Education Bachelors

Payrate $38.74 hourly onW2

Certifications & Licenses

  • None required

Skills (Ranked by Priority)

  1. Scientific Data analysis
  2. Statistical modelling
  3. Databasemanagement
  4. Data presentation

Software

  • R
  • SPSS

Field of Study

  • Information Sciences

Statement of Work Details

Collects and analyses data for a variety ofstudies.

  • Provide finaldata sets for each project.
  • Performstatistical analysis for each project.
  • Construct systematic processes for data entry and qualityassurance from project onset through analysis.
  • Perform data entry in support of a number of differentsystems and programs both numerical and text format.
  • Organize implement maintain and archive data.
  • Work with staff to gather and analyse information fromusers primarily principal investigators (PIs) needed for thedevelopment or modification of CRFs and accompanying interfacerelating to data collection storage and access.
  • Coordinate and perform data entry.1
  • Perform quality checks toensure consistency integrity and robustness of data.
  • Provide analysis analytical modelling and/or datavisualization on data sets using relevant data tools.
  • Assist in determining variables and data collection forstudy protocol development (ex. literature reviews)
  • Provides assistance in data collection at multiplelocations including Clinical Centre community study interventionsite or remote.
  • Participates in internal (NIH)or external (nonNIH) trainings as required for new or changingstudy requirements

Organizes data to provide functional reporting.

  • Create data workflowprocesses.
  • Ensure that appropriate variablesare captured in the constructed databases.
  • Format databases to allow merging of spreadsheets forstatistical analyses and to optimize planned analyses.
  • Record data into a format appropriate forprocessing.
  • Apply statistical techniques toproduce meaningful tables and graphs using appropriatesoftware.
  • Provide support with data sharingincluding public repositories.
  • Work with staffto 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 datasets.

Creates andmaintains a variety of reports.

  • Create systematic documentation on reporting(completeness changes or errors).
  • Providedraft results and output for statistician review.
  • Maintain data for past and present studies.
  • Compile results of analysis projects into detailedreports.
  • Maintain databases for tracking andmonitoring activities.
  • Work with staff tocurate data retrieve records and generate reports
  • Complete data analyses and assist with draft manuscriptfor study results

Managesstorage and backup systems.

  • Maintain and update electronic copies of all databasesand data dictionaries developed for projects.
  • Maintain and update accurate and complete filing of datafollowing data entry / QA.
  • Perform dataauditing for quality assurance of data entry review.
  • Follow established policies and procedures for thequality assurance of all study collection interfaces storage andaccess.
  • Maintain a variety of computerizedfiles and records.
  • Maintain and improve theexisting data pipeline for processing and storing data.

Participates in the development anddesign of databases for tracking and statistical purposes thatincorporate multiple data fields required byscientists.

  • Develop andmaintain data management and quality assurance/quality controlprocedures that improve the transparency consistency accuracy andcomparability of data which supports the integrity of research.
  • 3.Document methods and results sufficientlyto ensure reproducibility by other researchers.
  • Develop maintain and update program database andspreadsheet.
  • Participate in the design andimplementation of data reporting tools.
  • Provide support for requests pertaining to new studiesfor electronic data capture or storage from investigators review ofcurrent system or the creation and editing of CRFs and electroniccapture tools/interface.
  • Maintain databasesand spreadsheets related to various data sharingactivities.
  • Provide support for all datasharing related activities; create and maintain data access anddata submission tracking systems and reports to be presented tosenior program leadership.
  • Maintain databasesand spreadsheets for tracking and analysing submission ofdatasets.

Assists withcoordination of statistical data analysis for numerous ongoingstudies by collecting organizing and trackinginformation.

  • Develop datadictionaries for each database.
  • Enhance datamanagement and document data sharing practices.
  • Formulate appropriate data auditing plan and strategy toprovide services to studies that are active and ongoing as requiredto ensure that the quality of the data meets the study goals andquality standards.
  • Prepare databases andreports for staff; perform various tracking and analysis of branchdata to include spreadsheet preparation andinterpretation.
  • Design develop and maintaindatabases Listservs spreadsheets PowerPoint presentations and othercomputer applications.
  • Meet with datacustomers inside and outside the research branch to assess databaserequirements (ex BTRIS for RedCap)

Manages projects and quickly responds toinquiries about status.

  • Perform database analysis to look for incomplete dataelements.
  • Identify possible trends andpatterns in the data; communicate relevant findings that supportproblem solving and decision making.
  • Track andsolve problems during the data entry and QA processes.
  • Provide description of procedures used to perform dataquality assurance; update as procedures are developed.
  • Provide log and description of projectrelated dataassociated data management problems that were solved and theirresolution.
  • Allocate quality assuranceresources to ensure data validity and fidelity.
  • Work with database users to identify and resolve cases ofmissing data.

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