Sr. Research Data Analyst (International Health)

Johns Hopkins University•Baltimore, MD

12h•$27 - $47•Hybrid

About The Position

The Department of International Health at the Johns Hopkins Bloomberg School of Public Health is seeking a Sr. Research Data Analyst. The Sr. Research Data Analyst will build complex data models and conduct complex data analysis in support of research projects, programs, and/or studies. The Sr. Research Data Analyst is responsible for coordination of data and data analysis activities across multiple studies. In addition to the duties described above, this position requires occasional coordination across international time zones due to multi-country study team.

Requirements

Master's Degree in a related field.
One year of related experience.
Highly specialized advanced knowledge, education and/or training in a specialized field of study to conduct research.
Additional education may substitute for required experience, to the extent permitted by the JHU equivalency formula.
Biostatistical Analysis - Intermediate
Data Management and Analysis - Intermediate
Data Tool and Resource Development - Intermediate
Data Validation and Quality Assurance - Intermediate
Project Management - Intermediate
Research Software Development - Intermediate
Statistical Modeling - Intermediate
Statistical Programming - Intermediate

Nice To Haves

PhD in a related field.
Proficiency in Python; experience with cloud computing platforms and REST API integration.
Experience with AI/ML model deployment (e.g., Modal or similar platforms); familiarity with social media data environments and large-scale video processing workflows.

Responsibilities

Develop, manage, and maintain a database for study data for multiple studies.
Develop standard operating procedures for initial data entry and data updates.
Oversee quality control procedures for database and ongoing analysis.
Develop data models.
Conduct statistical analyses of data collected in this system to support empirical study.
Build transmission models.
Create and curate software tools across diverse programming languages in support of research efforts.
Design, deploy, and maintain cloud-based infrastructure for automated video processing at scale, including coordination of API integrations with external AI vision model providers to support content analysis workflows.
Develop and manage data pipelines for collecting, processing, and organizing publicly available social media video data (TikTok platform), including applying AI/ML-based computer vision models to extract structured data from video content.
Collaborate with multi-institutional research partners to produce analytical outputs, including engagement metric analyses, sentiment summaries, and coded content reports, in support of study deliverables and publications.
Other duties as assigned.