Research Analyst

American Academy of Otolaryngology; Alexandria (VA); Hybrid; USD 75,000 - 110,000; Full time

Job summary

The American Academy of Otolaryngology in Alexandria, VA is seeking an Analyst, Research & Quality to contribute to guideline development, data analytics, and registry research. This hybrid role combines in-person collaboration (three days a week) with remote work (two days) to support evidence-to-practice initiatives.

You will work with physician experts, Academy staff, and partners to turn questions into analytic deliverables, build tables and dashboards, and draft concise research summaries

Qualifications

• Bachelor’s degree in public health, epidemiology, health informatics, CS, data science, statistics or related field.
• Strong analytical reasoning, data-literacy, and clear written/verbal communication.
• Willingness to learn methods, tools, and healthcare terminology; some evening meetings may be required.

Responsibilities

• Support CPG and ECS development, literature reviews, and evidence synthesis.
• Turn clinical questions into feasible data requests and analytic deliverables.
• Develop SQL queries, and use Python or R to clean, analyze, and summarize data.
• Create tables, figures, dashboards, and concise summaries for diverse audiences.
• Coordinate reviews, timelines, and documentation; support dissemination materials.
• Assist with registry research, proposals, and translation of guidelines into actionable data elements.

Skills

Analytical thinking

Research literacy

Data visualization

SQL knowledge

Python or R

Education

Bachelor’s degree in public health, epidemiology, health informatics, computer science, data science, statistics

Tools

SQL

Python

R

Excel

Data visualization tools

Job description

This is a hybrid position; in-person in Alexandria, VA three days per week (Monday, Tuesday, Wednesday) and remote two days per week (Thursday, Friday).

The Analyst, Research & Quality contributes to a broad portfolio spanning clinical practice guidelines (CPGs), expert consensus statements (ECSs), clinical research, registry analytics, and quality improvement. Working with physician experts, Academy staff, and technical partners, the Analyst helps move evidence into practice through guideline development, digitization of recommendations, and data-informed tools. This role offers opportunities to develop skills across evidence synthesis, health informatics, and applied analytics. Success requires curiosity, sound judgment, initiative, adaptability, and the aptitude to learn unfamiliar methods and technology.

The Analyst, Research & Quality reports to the VP, Research & Quality and works closely with the Senior Data Scientist and Senior Program Manager.

Key Responsibilities

• Support physician panels, Academy staff, and methodology partners across CPG and ECS development, learning established evidence-based processes.
• Assist with literature searches, screening, evidence tables, reference management, and concise summaries of clinical research.
• Help coordinate evidence review, panel feedback, consensus activities (including Delphi surveys), drafting, and revisions.
• Track milestones and documentation; support manuscripts, publication submissions, and dissemination materials.

Research Data Analysis & Registry Support

• Work with the Senior Data Scientist to turn clinical and operational questions into feasible data requests and analytic deliverables.
• Develop and refine SQL queries, with guidance as needed, to identify cohorts, connect records, and calculate measures.
• Use or develop skills in Python or R to clean, validate, summarize, and analyze data using reproducible approaches.
• Check data completeness and consistency, investigate unexpected findings, and document limitations and questions for review.
• Prepare clear tables, figures, dashboards, and summaries for technical and nontechnical audiences.
• Explore practical improvements in data quality checks, workflow efficiency, automation, and registry-based research.
• Assist with feasibility assessments for research proposals, including cohort definitions, available data, and analytic needs; support RAPID review and tracking.
• Contribute to registry research, grants, industry collaborations, and quality initiatives through analyses and concise presentations.
• Help translate CPG key action statements into structured concepts, clinical terminology, coding logic, and measurable data elements for digital implementation.
• Assist participating Reg-ent practices with interpreting registry measures, trends, dashboards, and data-quality questions.

Communications & Project Support

• Draft accessible research summaries, presentation materials, manuscript content, and project updates.
• Maintain clear documentation of methods, data definitions, code, decisions, and project versions.
• Coordinate assigned meetings and deliverables, proactively flagging questions, dependencies, and risks.
• May participate in evening calls or weekend meetings supporting committees and guideline/consensus development groups.
• Contribute to cross-functional initiatives and support AAO-HNS/F committees as assigned.
• Build effective relationships with clinicians, members, industry collaborators, and colleagues; suggest improvements and learn from feedback.
• Other duties as assigned.

Qualifications

• Bachelor’s degree in public health, epidemiology, health informatics, computer science, data science, statistics, or a related field required. Relevant coursework, projects, internships, or professional experience may demonstrate preparation for this early-career role; graduate education is welcome but not required.
• Foundational qualifications: Strong analytical reasoning, research and information-literacy skills, attention to detail, and clear written and verbal communication. Ability to organize complex work, investigate discrepancies, manage competing priorities, ask thoughtful questions, and learn new tools quickly. Comfort working with data and spreadsheets (including Excel) and an interest in developing technical and methodological expertise.
• Desired experience or exposure (not all required): Clinical practice guidelines, evidence reviews, literature searching, or consensus methods; SQL and/or Python or R; data visualization and descriptive statistics; electronic health records, clinical registries, and healthcare terminology or coding systems (such as ICD-10, CPT, or SNOMED CT); digital health, structured clinical content, automation, or AI-assisted workflows. Demonstrated aptitude and willingness to learn are valued alongside direct experience. Ability to work independently and collaboratively. Some evening meetings, weekend work, and travel may be required.