Kelly Science is seeking a skilled, full-time Data Reporting Technician to join its growing Data Management team. This individual will be responsible for generating, reviewing, and reporting scientific data shared with external collaborators while ensuring data integrity, quality, and compliance with established standards. If you are passionate about working with scientific data and supporting cutting-edge clinical research, we encourage you to apply.

Details:

• Job Type: Full-Time
  

• Location: St. Louis, MO (Preferred)
  

• Schedule: Monday – Friday, Standard Business Hours
  

• Target Pay Rate: $25-32/hour

Position Overview

As a Data Reporting Technician, you will play a key role in supporting the organization’s data management and reporting functions. The ideal candidate will be highly proficient in Microsoft Excel, possess a strong understanding of scientific data analysis and transformation, and demonstrate exceptional attention to detail. This position works closely with Data Managers, scientific teams, and regulatory personnel to ensure the accuracy, integrity, and timely delivery of data to external collaborators and research partners.

Key Responsibilities

• Generate, prepare, and review accurate data reports and data files for external distribution.
  

• Ensure data quality, integrity, and compliance with established standards, specifications, and reporting requirements.
  

• Perform data entry and maintain accurate records within internal systems.
  

• Review data for deficiencies, inconsistencies, or errors and resolve incompatibilities when possible.
  

• Validate output files and reports prior to release.
  

• Assist Data Management, scientific, and regulatory teams with data collection, review, integrity assessments, and reporting activities.
  

• Support data reporting efforts for company-sponsored clinical studies conducted with external investigators and collaborators.
  

• Prepare data files according to established data transfer specifications and agreements.
  

• Communicate data and reporting deliverables to third-party partners and collaborators.
  

• Store completed work in designated repositories and perform backup operations as required.
  

• Scan, organize, and maintain documentation and files as needed.
  

• Maintain confidentiality of sensitive scientific, clinical, and business information.
  

• Support continuous improvement efforts related to data quality, reporting processes, and documentation practices.
  

• Collaborate effectively with cross-functional teams to ensure timely completion of project deliverables.
  

• Demonstrate flexibility and adaptability in response to changing priorities and business needs.

Qualifications & Skills

• Associate degree in Biology, Life Sciences, Computer Science, or a related field required, with demonstrated knowledge of scientific data analysis.
  

• Bachelor’s degree in a related scientific or technical discipline preferred.
  

• Experience working with scientific, clinical, or laboratory-generated data preferred.
  

• Strong attention to detail and commitment to data accuracy.
  

• Excellent organizational and time-management skills.
  

• Strong verbal and written communication skills.
  

• Ability to work independently while maintaining accountability and meeting deadlines.
  

• Demonstrated agility and adaptability in a fast-paced environment with shifting priorities.
  

• Self-motivated with a strong desire to learn and develop new skills.
  

• Proficiency in Microsoft Excel, including:
  

  • Pivot tables
    

  • Data sorting and filtering
    

  • Advanced formulas and functions
    

  • Data manipulation and reporting
    

  
  

• Proficiency with Microsoft Office applications.

Additional Preferred Qualifications

• Knowledge of regulatory studies and quality systems.
  

• Experience working within GCP, GLP, and/or CLIA-regulated environments.
  

• Familiarity with Laboratory Information Management Systems (LIMS).
  

• Experience with data analysis and visualization tools such as R and Tableau.
  

• Experience with electronic data transfer and storage solutions, including FTP platforms.
  

• Understanding of clinical research data management processes and best practices.

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