Research Associate​/Data Analyst

Job Overview

The Protocol Labs Network is an ecosystem of teams pushing the boundaries of decentralized technologies, research, and open-source innovation. Explore opportunities across the network and join the mission.

We are seeking a research Data Analyst in the Department of Oral Health Policy and Epidemiology (OHPE). This position will work with Dr. Hawazin Elani and her team which undertakes a range of health policy projects focused on disparities in oral health.

• Manage various datasets, estimate statistical models, and report formats.
• Determine and write statistical considerations and algorithms for protocol documents according to study design and appropriate statistical methods.
• Maintain documentation of files and analyses, summarize and present findings as reports, tables, graphs, and models.
• Collaborate on manuscripts, abstracts, and other publications documenting study findings.
• Ensure integrity of data collection, data review, data compilation, and analysis techniques.
• Follow proper procedures for working with confidential data in compliance with institutional and regulatory guidelines.
• Present findings at lab meetings and provide regular updates to funding agencies.
• Participate in modelling work group meetings and contribute to development of new projects and proposals.
• Work independently and collaboratively with other research team members.

• Bachelor’s degree in statistics, computer science, data science, or a closely related field with 2+ years of relevant experience.
• Proficiency in statistical programming languages (Python, R, or SQL).
• Experience and knowledge of quantitative methods including causal inference and econometric analyses.
• Master’s degree in statistics, economics or related quantitative field preferred.
• Experience working on public health, health services, and/or epidemiological research projects strongly preferred.
• Strong quantitative background, experience working with large data sets and statistical and data management.
• Desire to learn new modelling approaches and statistical methods as necessary for the successful completion of research projects.
• Previous experience with health care claims (Medicare, Medicaid, private insurance) strongly preferred.
• Excellent communication skills and experience collaborating effectively on shared research tasks.

Work is performed in an office setting. Individual hybrid work options for this role will be discussed during the interview process.

$65,000-$85,000. Compensation for the selected candidate will be determined by several factors, years of experience, relevant training or qualifications, area of education/training/scholarship, and professional achievements.

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