Research Data Analyst I

About the Role

The Research Data Analyst I position involves gathering and analyzing a wide variety of research data. Designs and conducts research including selecting data samples and analyzing collected information according to established statistical methods. Prepares reports, charts, tables, and other visual aids to interpret and communicate data and results. With support, gather and analyze data and develop reports, charts, and tables as appropriate. Functions with guidance and supervision. Applies knowledge as a research professional with an understanding of statistical and / or other analysis techniques designed to support research projects, with guidance.

Key Responsibilities

• Gathering and analyzing a wide variety of research data.
• Designing and conducting research, including selecting data samples and analyzing collected information according to established statistical methods.
• Preparing reports, charts, tables, and other visual aids to interpret and communicate data and results.
• Gathering, analyzing, preparing, and summarizing information from subject matter experts and technical personnel.

Requirements & Tech Stack

• Acquiring knowledge of research function.
• Acquiring knowledge of statistical analysis, database management, and systems programming.
• Knowledge of statistics and machine learning.
• Ability to program in SAS, STATA, or equivalent (e.g., R).
• Familiarity with data quality and governance issues and requirements.
• Acquiring knowledge of data management systems, practices, and standards.
• Acquiring knowledge of relevant rules and regulations.

Qualifications

• Ability to communicate complex information in a clear and concise manner both verbally and in writing.
• Ability to analyze complex information requirements and document them using formal data definition techniques and naming standards.
• Self-motivated and works independently and as part of a team.
• Demonstrated strong problem-solving skills.
• Able to learn effectively and meet deadlines.
• Strong organizational skills.
• Critical thinking skills and attention to detail.

Education

• Bachelor’s degree in data science or related field (with completion of first-author original investigation clinical research manuscript demonstrating proficiency with data manipulation and data analysis) and / or equivalent experience / training.

Preferred Certifications

• Collaborative Institutional Training Initiative (CITI) training.
• HIPPA training.