Department: MED-Preventive Medicine Salary/Grade: EXS/8
Northwestern University Data Analysis and Coordinating Center (NUDACC) of the Feinberg School of Medicine (FSM) is recruiting a research data analyst--either a Master’s-level or Bachelor’s-level with equivalent experience--to join a highly collegial academic environment in the expanding Division on Biostatistics in FSM’s Department of Preventive Medicine. Responsibilities will include collaboration with biostatistics faculty and research investigators on data harmonization and the analysis of clinical and epidemiological projects under the direction of doctoral-level biostatisticians (faculty). Specific opportunities for collaborations are with the Healthy Hearts for Michigan (HH4M) project, led by a faculty member in Medicine-Division of General Internal Medicine and Geriatrics. Duties will include data harmonization from Electronic Health Record data across 50-60 primary clinics in Michigan; querying, extracting, managing and analyzing multiple, complex datasets; ensuring data integrity, quality, and timeliness of results; data preparation for public access; overseeing the deployment of reporting and analytical solutions; and statistical analyses of accumulating data. Partners with clients to design, develop, implement and maintain business solutions regarding data management and analysis. This includes database administration, data consolidation, data analysis and management reporting. Utilizes software to generate metrics and develops actionable recommendations. Collaborates with various function teams such as marketing, research, and IT to achieve business results. Level of appointment and responsibilities will be commensurate with experience and education.
Manages and plans for data/analysis requests and projects.
Provides consultation to customers on appropriate data management, methodological issues and statistical analyses.
Collaborates with technical staff explaining needs of functional users. Serve on committees related to data structure and governance.
Assist in development of data management and statistical analysis plans.
Reviews reports before presentation to ensure quality and accuracy.
Develops and maintains documentation of process for quality assurance and reporting methodology.
Defines, develops and communicates new standards and best practices.
Maintains study databases; runs ad hoc queries and analyses.
Cleans and organizes data in preparation for analyses.
Prepares and edits data summaries on a weekly basis.
Helps interpret results and write reports; prepares tables, figures, listings, and output files for publication and presentation.
Develops queries and quality metrics.
Interprets results using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex statistical analysis.
Determines data structure for local datasets.
Develops and documents standards for data quality and regulatory compliance pertaining to reporting.
Ensures quality and compliance by reviewing reports.
Performs range, logic and consistency checks, reporting errors when necessary.
Prepares analysis programs and reports to monitor data accrual and quality.
Performs other duties as assigned.
Successful completion of a full 4-year course of study in an accredited college or university leading to a bachelor's or higher degree; OR appropriate combination of education and experience.
4 years data analysis/report writing or similar experience required.
Please see information highlighted below.
Microsoft Office (Word, Excel, Powerpoint, Access, Outlook)
Programming Languages and Frameworks
database design/ data structure
metadata creation and management
Collaboration and teamwork
Workflow development & documentation
Minimum Competencies: (Skills, knowledge, and abilities.)
Communicates effectively one-on-one, or in small groups.
Strong organization and problem solving skills.
Proficiency in database design.
Master’s degree in data science, biostatistics or statistics; or equivalent level of education or experience.
Proficiency with SAS or R, and SQL, programming for data management and analysis.
Commitment to writing clean, well-documented code.
Experience with Github- preferred but not required.
Experience working with and managing Electronic Health Record (EHR) data.
Preferred Competencies: (Skills, knowledge, and abilities)
Ability to work independently to efficiently accomplish specific responsibilities.
Proficiency in REDCap – preferred but not required.
Proficiency in R Markdown, knitR, or LaTex – preferred, but not required.
Knowledge of medical/institutional research procedures.
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