Scientific Analyst I

CIBS is seeking a Scientific Analyst to support critical research operations by managing and
interpreting data. ensuring quality control and maintaining accuracy across projects. Analyst will
process and interpret data using established statistical techniques, generate monthly data
presentations for investigators, and proactively document veterinary team calendars to define action
items and schedules.

Outstanding UA benefits include health, dental, and vision insurance plans; life insurance and disability programs; paid vacation, sick leave, and holidays; UA/ASU/NAU tuition reduction for the employee and qualified family members; retirement plans; access to UA recreation and cultural activities; and more!

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• Routinely upload weight, behavioral data, animal status
  updates, clinical observations, locations, and other relevant information into
  databases (Climb.bio) according to departmental requirements and standardized
  operating procedures.
• Perform ETL (extract, transform, load) processes for data to
  be entered into the system. ETL would include extracting animal data from
  multiple staff input, transform data to meet the unit's data standards and
  compliance and lead analysis of all animal data inputs.
• Routinely process and analyze database, using previously
  established statistical and analytical techniques, to implement quality control
  measures and validate data, ensuring completeness and accuracy.
• Generate monthly data presentations for investigators, using
  statistical and mathematical software packages to interpret results.
• Assist in proactively and historically documenting
  veterinary team calendars to define action items, objectives, and scheduling of
  work intake. Coordinate and track data collection process. As needed, help
  train and assist in animal-related duties if coverage is necessary to
  understand data quality restraints.
• Assist team with routine data/database issues, consultation,
  technical assistance and document troubleshooting in relevant standardized
  operating procedures.
• Prepare routine reports documenting research methods,
  interpretation of results, visual representations of data, and recommendations.
• Contribute data to manuscripts and grants for various
  projects.

Knowledge, Skills and Abilities:

• Proficiency with Microsoft Office products, including expertise with Excel.
• Proficiency with MatLab.
• Data analysis/interpretation.
• Study Design experience.
• Data quality control experience.

• Bachelor's degree or equivalent advanced learning attained through experience required.
• One year of relevant data analysis work experience is required.

• Master's degree in a related field.

• Please note: If invited to interview, please be prepared to provide three (3) professional references.