Arbor Research Collaborative for Health
51 - 200 employees
Founded 1997
🔬 Science
🏛️ Government
💊 Pharmaceuticals
Science • Government • Pharmaceuticals
Arbor Research Collaborative for Health is a nonprofit health services research and technology organization that conducts real-world evidence generation, clinical and policy research, and develops health IT and data platforms to inform healthcare policy, clinical quality, and patient outcomes. It partners with government agencies (including HHS, CMS, NIH), foundations, and private-sector clients to provide data coordinating center services, disease and treatment registries, clinical trial research, mixed-methods evaluation, and health IT modernization using cloud, AI, and modern development practices.
Contingent Summer Research Analyst Intern
🔥 15 hours ago
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Arbor Research Collaborative for Health
51 - 200 employees
Founded 1997
🔬 Science
🏛️ Government
💊 Pharmaceuticals
Science • Government • Pharmaceuticals
Arbor Research Collaborative for Health is a nonprofit health services research and technology organization that conducts real-world evidence generation, clinical and policy research, and develops health IT and data platforms to inform healthcare policy, clinical quality, and patient outcomes. It partners with government agencies (including HHS, CMS, NIH), foundations, and private-sector clients to provide data coordinating center services, disease and treatment registries, clinical trial research, mixed-methods evaluation, and health IT modernization using cloud, AI, and modern development practices.
📋 Description
• Contribute to construction and QC of longitudinal electronic health record (EHR) analytic files using structured data • Conduct descriptive analyses of patient demographics, lab values, medication use, and clinical characteristics • Summarize data availability, follow-up patterns, and measurement frequency across CKD subgroups • Support feasibility assessments by generating counts, proportions, and distributional summaries • Produce clean, well-documented analytic code and contribute to draft tables and figures • Participate in biweekly internal team meetings and client meetings, and contribute to written deliverables
🎯 Requirements
• Currently enrolled in a graduate program (MPH, MS, PhD, or equivalent) in biostatistics, epidemiology, data science, health informatics, or a related field • Proficiency in Python, R, or SAS for data manipulation and descriptive analysis • Comfort working with big data – large, messy, real-world datasets • Strong attention to detail and ability to write clean, reproducible, well-commented code • Ability to work independently with remote supervision • Comfort using AI-assisted coding tools (e.g., Claude, GitHub Copilot) • Familiarity with EHR data or claims-based data (preferred) • Experience with longitudinal data structures (e.g., repeated lab measurements, time-to-event) (preferred) • Experience with version control (Git) (preferred)
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