Data Analyst – School of Medicine, Biochemistry

Job Category: Science/Research
Job Type: Other
Job Location: United States
Company Name: Emory University
KEY RESPONSIBILITIES:
  • Creates and maintains a data dictionary and meta data.
  • Supports efforts to ensure that data standards are developed and maintained.
  • Ensures that the uses of data through reports and queries are accurate.
  • Supports business and system re-engineering and architecture development to define future data needs.
  • Serves as an organizational consultant on matters relating to databases by providing expertise to assist users in meeting their needs.
  • Performs other related duties as required.
SPECIFIC JOB DUTIES:
  • Develops automated quality control procedures to assess quality of data and provides reports to data owners.
  • Works effectively within a group setting in areas of design of data collection database management, analysis of data, and creation of reports and dashboards.
  • Develops and performs appropriate analyses.
  • Provides explanations of analysis methods, assumptions made, and assists in interpretation of results and implications therein.
  • Serves as an organizational consultant on matters relating to analytical pipelines by providing expertise to assist users in meeting their needs
  • Documents methods and results through development and maintenance of standard documentation artifacts including data dictionaries, standard operating procedures and analysis methodology descriptions.
  • Works with onsite and remote counterparts to coordinate consistent implementation of data quality control measures and provision of access to the central data repositories.
MINIMUM QUALIFICATIONS:
  • A bachelor’s degree and one year of experience in data analysis, statistics, or a related field, OR an equivalent combination of education, training, and experience.
PREFERRED QUALIFICATIONS:
  • A Master’s degree in bioinformatics, computer engineering or IT-based discipline; some student-related experience gained through formal Master’s-level academic training.
  • Proficiency in using Python, Linux command line, computational clusters or cloud environments is desirable.
  • Excellent data management, programming, and communication skills are required.

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