Research Assistant, Data Management Analytics, Division of Research & Innovation

Wayne State University • Detroit, MI

4d • Onsite

About The Position

Wayne State University is searching for an experienced Research Assistant, Data Management Analytics, Division of Research & Innovation at its Detroit campus location. Wayne State is a premier, public, urban research university located in the heart of Detroit, Michigan where students from all backgrounds are offered a rich, high-quality education. Our deep-rooted commitment to excellence, collaboration, integrity, diversity and inclusion creates exceptional educational opportunities which prepare students for success in a global society.

The Research Assistant position provides technical and analytic support for biomedical and population health research initiatives involving Google Cloud Platform–based research data workflows, BigQuery SQL (Structured Query Language) analytics, structured research databases, interactive dashboards, and AI-integrated research approaches.

Requirements

• Master’s degree in Computer Science/ Data Science/ Biomedical Informatics/ Bioinformatics/ Statistics/ Computational Science/ Related computational discipline.
• Minimum 2 years of job-related experience.

Nice To Haves

• Google Cloud Platform
• SQL (Structured Query Language) and relational databases
• Python programming
• Cloud-based analytics workflows
• Dashboard development
• AI/ML (Artificial Intelligence/Machine Learning) or data science workflows
• Biomedical or healthcare research data environments
• Working knowledge of SQL (Structured Query Language) and structured database concepts.
• Experience using Python for analytics, scripting, or data processing workflows.
• Familiarity with cloud computing platforms, particularly Google Cloud Platform technologies such as BigQuery and Cloud Storage.
• Familiarity with AI/ML (Artificial Intelligence/Machine Learning), natural language processing, or computer vision workflows preferred.
• Ability to assist with development of dashboards and interactive analytic tools.
• Ability to work independently while contributing within collaborative research teams.
• Strong organizational, communication, and problem-solving skills.
• Knowledge of research integrity and reproducible research principles.
• Experience with Git-based workflows or collaborative software development environments preferred.

Responsibilities

• Assist with development and maintenance of cloud-based research data workflows and structured analytics environments using Google Cloud Platform technologies, including BigQuery and Cloud Storage.
• Assist in preparing, transforming, and organizing large structured and unstructured research datasets for downstream analytics, reporting, and AI-enabled approaches.
• Support implementation of SQL-based (structured query language) research data pipelines and analytic workflows used in biomedical, clinical, and population health research projects.
• Assist in the development of interactive research dashboards and visualization tools for research and healthcare data using cloud-based analytic platforms.
• Support research teams in transitioning analytic and data processing workflows toward reproducible cloud-based environments and internally managed research tools.
• Assist with development and testing of AI-enabled (Artificial Intelligence) workflows, including computer vision, natural language processing, semantic search, and metadata extraction systems for research approaches.
• Perform other related duties as assigned.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level