Research Data Analyst

University of Virginia

1d•$65,000 - $90,000•Hybrid

About The Position

The Planetary Child Health & Enterics Observatory (Plan-EO) is an interdisciplinary research initiative and living evidence system founded and coordinated by Dr. Josh Colston and based at UVA School of Medicine. Its aim is to systematically model, quantify, predict, and project the impacts of hydrometeorological and environmental factors on the epidemiology and burden of enteric pathogens across low-resource regions globally, and make these findings freely accessible to the research and stakeholder community. The Plan-EO research team integrates epidemiological data from molecular diagnostics with climate and environmental data derived from satellite Earth observations, household surveys, and other sources. The initiative brings together expertise across hydrology, bioinformatics, software and systems engineering, knowledge management, and communications. Plan-EO is a member of the SPRINGS Project, an international consortium supported by the EU’s Horizon Europe program. The Research Data Analyst will serve in a key leadership role within Plan-EO, advancing cutting-edge research on climate-sensitive infectious diseases in tropical and sub-tropical regions. This role requires a highly motivated and dynamic individual who is invested in the project’s vision and capable of representing the initiative in international forums while maintaining strong analytical rigor and attention to detail. The position carries significant leadership responsibility, including supervising scientific and operational activities, and offers autonomy to support project execution while enabling senior leadership to focus on strategic priorities. The successful candidate will gain hands-on experience in interdisciplinary research collaboration and grant proposal development across multiple funding sources.

Requirements

Master of Public Health (MPH) or equivalent graduate degree in quantitative or health sciences
Graduate-level training in biostatistics, epidemiological methods, and responsible conduct of human subject research
Significant experience in an analytical role within an interdisciplinary and international research environment
Strong bioinformatics and data science skills, including proficiency in R, Python, Stata, and GIS tools (ArcGIS, QGIS)
Ability to synthesize and communicate scientific evidence clearly to diverse audiences using citation tools (e.g., Zotero, EndNote)
Exceptional organizational, communication, and teamwork skills with strong attention to detail
Demonstrated initiative and ownership of work
Cultural sensitivity and understanding of equitable global research partnerships
Familiarity with project management and collaboration tools (e.g., Slack, Notion)
Fluency in English and proficiency in an additional widely spoken language

Nice To Haves

Doctoral degree in population health sciences
Experience conducting structured literature reviews using tools such as Covidence
Knowledge of Spanish
Familiarity with AI-enabled research tools (e.g., Elicit, Antigravity, Perplexity)
Experience with Stata

Responsibilities

Collaborate on scientific outputs across the full research lifecycle, including exploratory analysis, statistical modeling, manuscript development, and dissemination
Develop and oversee data processing infrastructure and workflows, including front-end visualization tools and backend computing environments
Lead knowledge management efforts to maintain Plan-EO as a living evidence system and organize scientific resources
Ensure responsible data stewardship and compliance with ethical, privacy, and regulatory standards in collaboration with international partners
Represent the project at conferences, workshops, and stakeholder engagements to enhance visibility and partnerships
Mentor undergraduate, graduate, and postdoctoral researchers, supporting professional development and experiential learning
Contribute to grant writing and proposal development across diverse funding sources

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